diff --git a/.gitignore b/.gitignore
index 3aeeb1fb..ff0272ba 100644
--- a/.gitignore
+++ b/.gitignore
@@ -41,3 +41,5 @@ pip-log.txt
 
 node_modules
 yarn-lock.json
+
+.benchmarks
diff --git a/Dockerfile b/Dockerfile
index 396ef25c..ed43e237 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -11,21 +11,32 @@ WORKDIR /build
 COPY . .
 RUN pip install . -t ./python/lib/$runtime/site-packages
 
-# Remove *.pyc files
-RUN find ./python/lib/$runtime/site-packages -name \*.pyc -delete
-
 # Remove botocore (40MB) to reduce package size. aws-xray-sdk
 # installs it, while it's already provided by the Lambda Runtime.
 RUN rm -rf ./python/lib/$runtime/site-packages/botocore*
 RUN rm -rf ./python/lib/$runtime/site-packages/setuptools
 RUN rm -rf ./python/lib/$runtime/site-packages/jsonschema/tests
 RUN find . -name 'libddwaf.so' -delete
-RUN rm -rf ./python/lib/$runtime/site-packages/urllib3
+RUN rm -rf ./python/lib/$runtime/site-packages/urllib3*
 RUN rm ./python/lib/$runtime/site-packages/ddtrace/appsec/_iast/_taint_tracking/*.so
 RUN rm ./python/lib/$runtime/site-packages/ddtrace/appsec/_iast/_stacktrace*.so
 RUN rm ./python/lib/$runtime/site-packages/ddtrace/internal/datadog/profiling/libdd_wrapper.so
 RUN rm ./python/lib/$runtime/site-packages/ddtrace/internal/datadog/profiling/ddup/_ddup.*.so
 RUN rm ./python/lib/$runtime/site-packages/ddtrace/internal/datadog/profiling/stack_v2/_stack_v2.*.so
+RUN find . -name "*.dist-info" -type d | xargs rm -rf
+
+# Precompile all .pyc files and remove .py files. This speeds up load time.
+# Compile with optimization level 2 (-OO) and PYTHONNODEBUGRANGES=1 to redtce
+# size of .pyc files.
+# See https://docs.python.org/3/tutorial/modules.html#compiled-python-files
+# https://docs.python.org/3.11/using/cmdline.html#cmdoption-O
+# https://docs.python.org/3/using/cmdline.html#envvar-PYTHONNODEBUGRANGES
+RUN PYTHONNODEBUGRANGES=1 python -OO -m compileall -b ./python/lib/$runtime/site-packages
+# remove all .py files except ddtrace/contrib/*/__init__.py which are necessary
+# for ddtrace.patch to discover instrumationation packages.
+RUN find ./python/lib/$runtime/site-packages -name \*.py | grep -v ddtrace/contrib | xargs rm -rf
+RUN find ./python/lib/$runtime/site-packages/ddtrace/contrib -name \*.py | grep -v __init__ | xargs rm -rf
+RUN find ./python/lib/$runtime/site-packages -name __pycache__ -type d -exec rm -r {} \+
 
 FROM scratch
 COPY --from=builder /build/python /
diff --git a/LICENSE-3rdparty.csv b/LICENSE-3rdparty.csv
index a6692772..1cfacb70 100644
--- a/LICENSE-3rdparty.csv
+++ b/LICENSE-3rdparty.csv
@@ -1,3 +1,13 @@
 Component,Origin,License,Copyright
-flake8,gitlab.com/pycqa/flake8,MIT,"Copyright (C) 2011-2013 Tarek Ziade <tarek@ziade.org>. Copyright (C) 2012-2016 Ian Cordasco <graffatcolmingov@gmail.com>."
+datadog,github.com/DataDog/datadogpy,BSD-3-Clause,"Copyright (c) 2015-Present Datadog, Inc <opensource@datadoghq.com>"
 wrapt,github.com/GrahamDumpleton/wrapt,BSD-2-Clause,"Copyright (c) 2013-2019, Graham Dumpleton"
+ddtrace,github.com/DataDog/dd-trace-py,BSD-3-Clause,"Copyright (c) 2016, Datadog <info@datadoghq.com>"
+urllib3,github.com/urllib3/urllib3,MIT,Copyright (c) 2008-2020 Andrey Petrov and contributors.
+ujson,github.com/ultrajson/ultrajson,BSD-3-Clause,"Copyright (c) 2014, Electronic Arts Inc"
+importlib_metadata,github.com/python/importlib_metadata,Apache-2.0,Copyright © Jason R. Coombs
+boto3,github.com/boto/boto3,Apache-2.0,"Copyright 2013-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved."
+typing_extensions,github.com/python/typing_extensions,PSF-2.0,"Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam, The Netherlands. All rights reserved"
+requests,github.com/psf/requests,Apache-2.0,"Copyright 2018 Kenneth Reitz"
+pytest,github.com/pytest-dev/pytest,MIT,Copyright (c) 2004 Holger Krekel and others
+pytest-benchmark,github.com/ionelmc/pytest-benchmark,BSD-2-Clause,"Copyright (c) 2014-2023, Ionel Cristian Mărieș. All rights reserved."
+flake8,gitlab.com/pycqa/flake8,MIT,"Copyright (C) 2011-2013 Tarek Ziade <tarek@ziade.org>. Copyright (C) 2012-2016 Ian Cordasco <graffatcolmingov@gmail.com>."
diff --git a/datadog_lambda/__init__.py b/datadog_lambda/__init__.py
index 5cc2ba00..378fd15c 100644
--- a/datadog_lambda/__init__.py
+++ b/datadog_lambda/__init__.py
@@ -1,5 +1,4 @@
 from datadog_lambda.cold_start import initialize_cold_start_tracing
-from datadog_lambda.logger import initialize_logging
 import os
 
 
@@ -13,11 +12,8 @@
 
 # The minor version corresponds to the Lambda layer version.
 # E.g.,, version 0.5.0 gets packaged into layer version 5.
-try:
-    import importlib.metadata as importlib_metadata
-except ModuleNotFoundError:
-    import importlib_metadata
+from datadog_lambda.version import __version__  # noqa: E402 F401
+from datadog_lambda.logger import initialize_logging  # noqa: E402
 
-__version__ = importlib_metadata.version(__name__)
 
 initialize_logging(__name__)
diff --git a/datadog_lambda/cold_start.py b/datadog_lambda/cold_start.py
index 9dcbec23..d4d4b8c2 100644
--- a/datadog_lambda/cold_start.py
+++ b/datadog_lambda/cold_start.py
@@ -50,12 +50,16 @@ def is_new_sandbox():
 
 def get_cold_start_tag():
     """Returns the cold start tag to be used in metrics"""
-    return "cold_start:{}".format(str(is_cold_start()).lower())
+    return "cold_start:true" if _cold_start else "cold_start:false"
 
 
 def get_proactive_init_tag():
     """Returns the proactive init tag to be used in metrics"""
-    return "proactive_initialization:{}".format(str(is_proactive_init()).lower())
+    return (
+        "proactive_initialization:true"
+        if _proactive_initialization
+        else "proactive_initialization:false"
+    )
 
 
 class ImportNode(object):
diff --git a/datadog_lambda/extension.py b/datadog_lambda/extension.py
index 159048d7..79c0031a 100644
--- a/datadog_lambda/extension.py
+++ b/datadog_lambda/extension.py
@@ -1,5 +1,5 @@
 import logging
-from os import path
+import os
 
 AGENT_URL = "http://127.0.0.1:8124"
 FLUSH_PATH = "/lambda/flush"
@@ -9,9 +9,7 @@
 
 
 def is_extension_present():
-    if path.exists(EXTENSION_PATH):
-        return True
-    return False
+    return os.path.exists(EXTENSION_PATH)
 
 
 def flush_extension():
diff --git a/datadog_lambda/handler.py b/datadog_lambda/handler.py
index 09cc5e7d..777dc492 100644
--- a/datadog_lambda/handler.py
+++ b/datadog_lambda/handler.py
@@ -22,7 +22,7 @@ class HandlerError(Exception):
     )
 parts = path.rsplit(".", 1)
 if len(parts) != 2:
-    raise HandlerError("Value %s for DD_LAMBDA_HANDLER has invalid format." % path)
+    raise HandlerError(f"Value {path} for DD_LAMBDA_HANDLER has invalid format.")
 
 
 (mod_name, handler_name) = parts
diff --git a/datadog_lambda/metric.py b/datadog_lambda/metric.py
index ca23ed96..e3b01a90 100644
--- a/datadog_lambda/metric.py
+++ b/datadog_lambda/metric.py
@@ -4,12 +4,12 @@
 # Copyright 2019 Datadog, Inc.
 
 import os
-import json
 import time
 import logging
+import ujson as json
 
 from datadog_lambda.extension import should_use_extension
-from datadog_lambda.tags import get_enhanced_metrics_tags, tag_dd_lambda_layer
+from datadog_lambda.tags import get_enhanced_metrics_tags, dd_lambda_layer_tag
 from datadog_lambda.api import init_api
 
 logger = logging.getLogger(__name__)
@@ -32,6 +32,10 @@
     flush_in_thread = os.environ.get("DD_FLUSH_IN_THREAD", "").lower() == "true"
     lambda_stats = ThreadStatsWriter(flush_in_thread)
 
+enhanced_metrics_enabled = (
+    os.environ.get("DD_ENHANCED_METRICS", "true").lower() == "true"
+)
+
 
 def lambda_metric(metric_name, value, timestamp=None, tags=None, force_async=False):
     """
@@ -50,7 +54,8 @@ def lambda_metric(metric_name, value, timestamp=None, tags=None, force_async=Fal
     and always use the layer to send metrics to the extension
     """
     flush_to_logs = os.environ.get("DD_FLUSH_TO_LOG", "").lower() == "true"
-    tags = tag_dd_lambda_layer(tags)
+    tags = [] if tags is None else list(tags)
+    tags.append(dd_lambda_layer_tag)
 
     if should_use_extension:
         logger.debug(
@@ -80,7 +85,8 @@ def write_metric_point_to_stdout(metric_name, value, timestamp=None, tags=[]):
                 "v": value,
                 "e": timestamp or int(time.time()),
                 "t": tags,
-            }
+            },
+            escape_forward_slashes=False,
         )
     )
 
@@ -89,16 +95,6 @@ def flush_stats():
     lambda_stats.flush()
 
 
-def are_enhanced_metrics_enabled():
-    """Check env var to find if enhanced metrics should be submitted
-
-    Returns:
-        boolean for whether enhanced metrics are enabled
-    """
-    # DD_ENHANCED_METRICS defaults to true
-    return os.environ.get("DD_ENHANCED_METRICS", "true").lower() == "true"
-
-
 def submit_enhanced_metric(metric_name, lambda_context):
     """Submits the enhanced metric with the given name
 
@@ -106,7 +102,7 @@ def submit_enhanced_metric(metric_name, lambda_context):
         metric_name (str): metric name w/o enhanced prefix i.e. "invocations" or "errors"
         lambda_context (dict): Lambda context dict passed to the function by AWS
     """
-    if not are_enhanced_metrics_enabled():
+    if not enhanced_metrics_enabled:
         logger.debug(
             "Not submitting enhanced metric %s because enhanced metrics are disabled",
             metric_name,
diff --git a/datadog_lambda/patch.py b/datadog_lambda/patch.py
index 0f6d28e9..5b8a92c5 100644
--- a/datadog_lambda/patch.py
+++ b/datadog_lambda/patch.py
@@ -3,11 +3,11 @@
 # This product includes software developed at Datadog (https://www.datadoghq.com/).
 # Copyright 2019 Datadog, Inc.
 
-import json
 import os
 import sys
 import logging
 import zlib
+import ujson as json
 
 from wrapt import wrap_function_wrapper as wrap
 from wrapt.importer import when_imported
@@ -144,14 +144,14 @@ def _print_request_string(request):
         data = zlib.decompress(data)
     data_dict = json.loads(data)
     data_dict.get("series", []).sort(key=lambda series: series.get("metric"))
-    sorted_data = json.dumps(data_dict)
+    sorted_data = json.dumps(data_dict, escape_forward_slashes=False)
 
     # Sort headers to prevent any differences in ordering
     headers = request.headers or {}
     sorted_headers = sorted(
         "{}:{}".format(key, value) for key, value in headers.items()
     )
-    sorted_header_str = json.dumps(sorted_headers)
+    sorted_header_str = json.dumps(sorted_headers, escape_forward_slashes=False)
     print(
         "HTTP {} {} Headers: {} Data: {}".format(
             method, url, sorted_header_str, sorted_data
diff --git a/datadog_lambda/tag_object.py b/datadog_lambda/tag_object.py
index ec1c5a66..6d82f83b 100644
--- a/datadog_lambda/tag_object.py
+++ b/datadog_lambda/tag_object.py
@@ -4,8 +4,8 @@
 # Copyright 2021 Datadog, Inc.
 
 from decimal import Decimal
-import json
 import logging
+import ujson as json
 
 redactable_keys = ["authorization", "x-authorization", "password", "token"]
 max_depth = 10
@@ -30,17 +30,17 @@ def tag_object(span, key, obj, depth=0):
         return span.set_tag(key, str(obj))
     if isinstance(obj, list):
         for k, v in enumerate(obj):
-            formatted_key = "{}.{}".format(key, k)
+            formatted_key = f"{key}.{k}"
             tag_object(span, formatted_key, v, depth)
         return
     if hasattr(obj, "items"):
         for k, v in obj.items():
-            formatted_key = "{}.{}".format(key, k)
+            formatted_key = f"{key}.{k}"
             tag_object(span, formatted_key, v, depth)
         return
     if hasattr(obj, "to_dict"):
         for k, v in obj.to_dict().items():
-            formatted_key = "{}.{}".format(key, k)
+            formatted_key = f"{key}.{k}"
             tag_object(span, formatted_key, v, depth)
         return
     try:
diff --git a/datadog_lambda/tags.py b/datadog_lambda/tags.py
index cdaeb4ed..695d1a48 100644
--- a/datadog_lambda/tags.py
+++ b/datadog_lambda/tags.py
@@ -1,28 +1,13 @@
 import sys
 
-from platform import python_version_tuple
-
 from datadog_lambda import __version__
 from datadog_lambda.cold_start import get_cold_start_tag
 
 
-def _format_dd_lambda_layer_tag():
-    """
-    Formats the dd_lambda_layer tag, e.g., 'dd_lambda_layer:datadog-python39_1'
-    """
-    runtime = "python{}{}".format(sys.version_info[0], sys.version_info[1])
-    return "dd_lambda_layer:datadog-{}_{}".format(runtime, __version__)
-
-
-def tag_dd_lambda_layer(tags):
-    """
-    Used by lambda_metric to insert the dd_lambda_layer tag
-    """
-    dd_lambda_layer_tag = _format_dd_lambda_layer_tag()
-    if tags:
-        return tags + [dd_lambda_layer_tag]
-    else:
-        return [dd_lambda_layer_tag]
+_major, _minor = sys.version_info[0], sys.version_info[1]
+dd_lambda_layer_tag = f"dd_lambda_layer:datadog-python{_major}{_minor}_{__version__}"
+runtime_tag = f"runtime:python{_major}.{_minor}"
+library_version_tag = f"datadog_lambda:v{__version__}"
 
 
 def parse_lambda_tags_from_arn(lambda_context):
@@ -32,64 +17,50 @@ def parse_lambda_tags_from_arn(lambda_context):
             ex: lambda_context.arn = arn:aws:lambda:us-east-1:123597598159:function:my-lambda:1
     """
     # Set up flag for extra testing to distinguish between a version or alias
-    hasAlias = False
+    has_alias = False
     # Cap the number of times to spli
     split_arn = lambda_context.invoked_function_arn.split(":")
 
     if len(split_arn) > 7:
-        hasAlias = True
+        has_alias = True
         _, _, _, region, account_id, _, function_name, alias = split_arn
     else:
         _, _, _, region, account_id, _, function_name = split_arn
 
     # Add the standard tags to a list
     tags = [
-        "region:{}".format(region),
-        "account_id:{}".format(account_id),
-        "functionname:{}".format(function_name),
+        f"region:{region}",
+        f"account_id:{account_id}",
+        f"functionname:{function_name}",
     ]
 
     # Check if we have a version or alias
-    if hasAlias:
+    if has_alias:
         # If $Latest, drop the $ for datadog tag convention. A lambda alias can't start with $
         if alias.startswith("$"):
             alias = alias[1:]
         # Versions are numeric. Aliases need the executed version tag
         elif not check_if_number(alias):
-            tags.append("executedversion:{}".format(lambda_context.function_version))
+            tags.append(f"executedversion:{lambda_context.function_version}")
         # create resource tag with function name and alias/version
-        resource = "resource:{}:{}".format(function_name, alias)
+        resource = f"resource:{function_name}:{alias}"
     else:
         # Resource is only the function name otherwise
-        resource = "resource:{}".format(function_name)
+        resource = f"resource:{function_name}"
 
     tags.append(resource)
 
     return tags
 
 
-def get_runtime_tag():
-    """Get the runtime tag from the current Python version"""
-    major_version, minor_version, _ = python_version_tuple()
-
-    return "runtime:python{major}.{minor}".format(
-        major=major_version, minor=minor_version
-    )
-
-
-def get_library_version_tag():
-    """Get datadog lambda library tag"""
-    return "datadog_lambda:v{}".format(__version__)
-
-
 def get_enhanced_metrics_tags(lambda_context):
     """Get the list of tags to apply to enhanced metrics"""
-    return parse_lambda_tags_from_arn(lambda_context) + [
-        get_cold_start_tag(),
-        "memorysize:{}".format(lambda_context.memory_limit_in_mb),
-        get_runtime_tag(),
-        get_library_version_tag(),
-    ]
+    tags = parse_lambda_tags_from_arn(lambda_context)
+    tags.append(get_cold_start_tag())
+    tags.append(f"memorysize:{lambda_context.memory_limit_in_mb}")
+    tags.append(runtime_tag)
+    tags.append(library_version_tag)
+    return tags
 
 
 def check_if_number(alias):
diff --git a/datadog_lambda/tracing.py b/datadog_lambda/tracing.py
index 5e338253..1d73de3e 100644
--- a/datadog_lambda/tracing.py
+++ b/datadog_lambda/tracing.py
@@ -5,8 +5,8 @@
 import hashlib
 import logging
 import os
-import json
 import base64
+import ujson as json
 from datetime import datetime, timezone
 from typing import Optional, Dict
 
@@ -66,6 +66,8 @@
 
         telemetry_writer.enable()
 
+is_lambda_context = os.environ.get(XrayDaemon.FUNCTION_NAME_HEADER_NAME) != ""
+
 propagator = HTTPPropagator()
 
 DD_TRACE_JAVA_TRACE_ID_PADDING = "00000000"
@@ -93,7 +95,7 @@ def _convert_xray_sampling(xray_sampled):
 
 
 def _get_xray_trace_context():
-    if not is_lambda_context():
+    if not is_lambda_context:
         return None
 
     xray_trace_entity = parse_xray_header(
@@ -109,11 +111,7 @@ def _get_xray_trace_context():
     logger.debug(
         "Converted trace context %s from X-Ray segment %s",
         trace_context,
-        (
-            xray_trace_entity["trace_id"],
-            xray_trace_entity["parent_id"],
-            xray_trace_entity["sampled"],
-        ),
+        xray_trace_entity,
     )
     return trace_context
 
@@ -124,7 +122,9 @@ def _get_dd_trace_py_context():
         return None
 
     logger.debug(
-        "found dd trace context: %s", (span.context.trace_id, span.context.span_id)
+        "found dd trace context: trace_id=%s span_id=%s",
+        span.context.trace_id,
+        span.context.span_id,
     )
     return span.context
 
@@ -235,37 +235,31 @@ def extract_context_from_sqs_or_sns_event_or_context(event, lambda_context):
 
         # logic to deal with SNS => SQS event
         if "body" in first_record:
-            body_str = first_record.get("body", {})
+            body_str = first_record.get("body")
             try:
                 body = json.loads(body_str)
                 if body.get("Type", "") == "Notification" and "TopicArn" in body:
                     logger.debug("Found SNS message inside SQS event")
                     first_record = get_first_record(create_sns_event(body))
             except Exception:
-                first_record = event.get("Records")[0]
                 pass
 
-        msg_attributes = first_record.get(
-            "messageAttributes",
-            first_record.get("Sns", {}).get("MessageAttributes", {}),
-        )
-        dd_payload = msg_attributes.get("_datadog", {})
+        msg_attributes = first_record.get("messageAttributes")
+        if msg_attributes is None:
+            sns_record = first_record.get("Sns") or {}
+            msg_attributes = sns_record.get("MessageAttributes") or {}
+        dd_payload = msg_attributes.get("_datadog")
         if dd_payload:
             # SQS uses dataType and binaryValue/stringValue
             # SNS uses Type and Value
             dd_json_data = None
-            dd_json_data_type = dd_payload.get("Type", dd_payload.get("dataType", ""))
+            dd_json_data_type = dd_payload.get("Type") or dd_payload.get("dataType")
             if dd_json_data_type == "Binary":
-                dd_json_data = dd_payload.get(
-                    "binaryValue",
-                    dd_payload.get("Value", r"{}"),
-                )
-                dd_json_data = base64.b64decode(dd_json_data)
+                dd_json_data = dd_payload.get("binaryValue") or dd_payload.get("Value")
+                if dd_json_data:
+                    dd_json_data = base64.b64decode(dd_json_data)
             elif dd_json_data_type == "String":
-                dd_json_data = dd_payload.get(
-                    "stringValue",
-                    dd_payload.get("Value", r"{}"),
-                )
+                dd_json_data = dd_payload.get("stringValue") or dd_payload.get("Value")
             else:
                 logger.debug(
                     "Datadog Lambda Python only supports extracting trace"
@@ -278,23 +272,25 @@ def extract_context_from_sqs_or_sns_event_or_context(event, lambda_context):
         else:
             # Handle case where trace context is injected into attributes.AWSTraceHeader
             # example: Root=1-654321ab-000000001234567890abcdef;Parent=0123456789abcdef;Sampled=1
-            x_ray_header = first_record.get("attributes", {}).get("AWSTraceHeader")
-            if x_ray_header:
-                x_ray_context = parse_xray_header(x_ray_header)
-                trace_id_parts = x_ray_context.get("trace_id", "").split("-")
-                if len(trace_id_parts) > 2 and trace_id_parts[2].startswith(
-                    DD_TRACE_JAVA_TRACE_ID_PADDING
-                ):
-                    # If it starts with eight 0's padding,
-                    # then this AWSTraceHeader contains Datadog injected trace context
-                    logger.debug(
-                        "Found dd-trace injected trace context from AWSTraceHeader"
-                    )
-                    return Context(
-                        trace_id=int(trace_id_parts[2][8:], 16),
-                        span_id=int(int(x_ray_context["parent_id"], 16)),
-                        sampling_priority=float(x_ray_context["sampled"]),
-                    )
+            attrs = first_record.get("attributes")
+            if attrs:
+                x_ray_header = attrs.get("AWSTraceHeader")
+                if x_ray_header:
+                    x_ray_context = parse_xray_header(x_ray_header)
+                    trace_id_parts = x_ray_context.get("trace_id", "").split("-")
+                    if len(trace_id_parts) > 2 and trace_id_parts[2].startswith(
+                        DD_TRACE_JAVA_TRACE_ID_PADDING
+                    ):
+                        # If it starts with eight 0's padding,
+                        # then this AWSTraceHeader contains Datadog injected trace context
+                        logger.debug(
+                            "Found dd-trace injected trace context from AWSTraceHeader"
+                        )
+                        return Context(
+                            trace_id=int(trace_id_parts[2][8:], 16),
+                            span_id=int(x_ray_context["parent_id"], 16),
+                            sampling_priority=float(x_ray_context["sampled"]),
+                        )
         return extract_context_from_lambda_context(lambda_context)
     except Exception as e:
         logger.debug("The trace extractor returned with error %s", e)
@@ -339,21 +335,22 @@ def extract_context_from_kinesis_event(event, lambda_context):
     """
     try:
         record = get_first_record(event)
-        data = record.get("kinesis", {}).get("data", None)
+        kinesis = record.get("kinesis")
+        if not kinesis:
+            return extract_context_from_lambda_context(lambda_context)
+        data = kinesis.get("data")
         if data:
             b64_bytes = data.encode("ascii")
             str_bytes = base64.b64decode(b64_bytes)
             data_str = str_bytes.decode("ascii")
             data_obj = json.loads(data_str)
             dd_ctx = data_obj.get("_datadog")
-
-        if not dd_ctx:
-            return extract_context_from_lambda_context(lambda_context)
-
-        return propagator.extract(dd_ctx)
+            if dd_ctx:
+                return propagator.extract(dd_ctx)
     except Exception as e:
         logger.debug("The trace extractor returned with error %s", e)
-        return extract_context_from_lambda_context(lambda_context)
+
+    return extract_context_from_lambda_context(lambda_context)
 
 
 def _deterministic_md5_hash(s: str) -> int:
@@ -380,7 +377,7 @@ def extract_context_from_step_functions(event, lambda_context):
         state_entered_time = event.get("State").get("EnteredTime")
         trace_id = _deterministic_md5_hash(execution_id)
         parent_id = _deterministic_md5_hash(
-            execution_id + "#" + state_name + "#" + state_entered_time
+            f"{execution_id}#{state_name}#{state_entered_time}"
         )
         sampling_priority = SamplingPriority.AUTO_KEEP
         return Context(
@@ -396,11 +393,7 @@ def extract_context_custom_extractor(extractor, event, lambda_context):
     Extract Datadog trace context using a custom trace extractor function
     """
     try:
-        (
-            trace_id,
-            parent_id,
-            sampling_priority,
-        ) = extractor(event, lambda_context)
+        trace_id, parent_id, sampling_priority = extractor(event, lambda_context)
         return Context(
             trace_id=int(trace_id),
             span_id=int(parent_id),
@@ -426,15 +419,20 @@ def is_authorizer_response(response) -> bool:
 
 def get_injected_authorizer_data(event, is_http_api) -> dict:
     try:
-        authorizer_headers = event.get("requestContext", {}).get("authorizer")
+        req_ctx = event.get("requestContext")
+        if not req_ctx:
+            return None
+        authorizer_headers = req_ctx.get("authorizer")
         if not authorizer_headers:
             return None
 
-        dd_data_raw = (
-            authorizer_headers.get("lambda", {}).get("_datadog")
-            if is_http_api
-            else authorizer_headers.get("_datadog")
-        )
+        if is_http_api:
+            lambda_hdr = authorizer_headers.get("lambda")
+            if not lambda_hdr:
+                return None
+            dd_data_raw = lambda_hdr.get("_datadog")
+        else:
+            dd_data_raw = authorizer_headers.get("_datadog")
 
         if not dd_data_raw:
             return None
@@ -448,16 +446,19 @@ def get_injected_authorizer_data(event, is_http_api) -> dict:
         # that case, we use the injected Authorizing_Request_Id to tell if it's cached. But token
         # authorizers don't pass on the requestId. The Authorizing_Request_Id can't work for all
         # cases neither. As a result, we combine both methods as shown below.
-        if authorizer_headers.get("integrationLatency", 0) > 0 or event.get(
-            "requestContext", {}
-        ).get("requestId") == injected_data.get(Headers.Authorizing_Request_Id):
+        if authorizer_headers.get("integrationLatency", 0) > 0:
             return injected_data
-        else:
+        req_ctx = event.get("requestContext")
+        if not req_ctx:
             return None
+        if req_ctx.get("requestId") == injected_data.get(
+            Headers.Authorizing_Request_Id
+        ):
+            return injected_data
+        return None
 
     except Exception as e:
         logger.debug("Failed to check if invocated by an authorizer. error %s", e)
-        return None
 
 
 def extract_dd_trace_context(
@@ -529,8 +530,8 @@ def get_dd_trace_context_obj():
         xray_context = _get_xray_trace_context()  # xray (sub)segment
     except Exception as e:
         logger.debug(
-            "get_dd_trace_context couldn't read from segment from x-ray, with error %s"
-            % e
+            "get_dd_trace_context couldn't read from segment from x-ray, with error %s",
+            e,
         )
     if not xray_context:
         return None
@@ -569,7 +570,7 @@ def set_correlation_ids():
 
     TODO: Remove me when Datadog tracer is natively supported in Lambda.
     """
-    if not is_lambda_context():
+    if not is_lambda_context:
         logger.debug("set_correlation_ids is only supported in LambdaContext")
         return
     if dd_tracing_enabled:
@@ -613,14 +614,6 @@ def inject_correlation_ids():
     logger.debug("logs injection configured")
 
 
-def is_lambda_context():
-    """
-    Return True if the X-Ray context is `LambdaContext`, rather than the
-    regular `Context` (e.g., when testing lambda functions locally).
-    """
-    return os.environ.get(XrayDaemon.FUNCTION_NAME_HEADER_NAME, "") != ""
-
-
 def set_dd_trace_py_root(trace_context_source, merge_xray_traces):
     if trace_context_source == TraceContextSource.EVENT or merge_xray_traces:
         context = Context(
@@ -635,8 +628,9 @@ def set_dd_trace_py_root(trace_context_source, merge_xray_traces):
 
         tracer.context_provider.activate(context)
         logger.debug(
-            "Set dd trace root context to: %s",
-            (context.trace_id, context.span_id),
+            "Set dd trace root context to: trace_id=%s span_id=%s",
+            context.trace_id,
+            context.span_id,
         )
 
 
@@ -697,9 +691,7 @@ def create_inferred_span(
             event_source.to_string(),
             e,
         )
-        return None
     logger.debug("Unable to infer a span: unknown event type")
-    return None
 
 
 def create_service_mapping(val):
@@ -721,20 +713,22 @@ def determine_service_name(service_mapping, specific_key, generic_key, default_v
     return service_name
 
 
-service_mapping = {}
 # Initialization code
 service_mapping_str = os.getenv("DD_SERVICE_MAPPING", "")
 service_mapping = create_service_mapping(service_mapping_str)
 
+_dd_origin = {"_dd.origin": "lambda"}
+
 
 def create_inferred_span_from_lambda_function_url_event(event, context):
     request_context = event.get("requestContext")
     api_id = request_context.get("apiId")
     domain = request_context.get("domainName")
     service_name = determine_service_name(service_mapping, api_id, "lambda_url", domain)
-    method = request_context.get("http", {}).get("method")
-    path = request_context.get("http", {}).get("path")
-    resource = "{0} {1}".format(method, path)
+    http = request_context.get("http")
+    method = http.get("method") if http else None
+    path = http.get("path") if http else None
+    resource = f"{method} {path}"
     tags = {
         "operation_name": "aws.lambda.url",
         "http.url": domain + path,
@@ -744,25 +738,23 @@ def create_inferred_span_from_lambda_function_url_event(event, context):
         "request_id": context.aws_request_id,
     }
     request_time_epoch = request_context.get("timeEpoch")
-    args = {
-        "service": service_name,
-        "resource": resource,
-        "span_type": "http",
-    }
-    tracer.set_tags(
-        {"_dd.origin": "lambda"}
-    )  # function urls don't count as lambda_inferred,
+    tracer.set_tags(_dd_origin)  # function urls don't count as lambda_inferred,
     # because they're in the same service as the inferring lambda function
-    span = tracer.trace("aws.lambda.url", **args)
+    span = tracer.trace(
+        "aws.lambda.url", service=service_name, resource=resource, span_type="http"
+    )
     InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="sync")
     if span:
         span.set_tags(tags)
-    span.start = request_time_epoch / 1000
+        span.start_ns = int(request_time_epoch) * 1e6
     return span
 
 
 def is_api_gateway_invocation_async(event):
-    return event.get("headers", {}).get("X-Amz-Invocation-Type") == "Event"
+    hdrs = event.get("headers")
+    if not hdrs:
+        return False
+    return hdrs.get("X-Amz-Invocation-Type") == "Event"
 
 
 def insert_upstream_authorizer_span(
@@ -862,7 +854,7 @@ def create_inferred_span_from_api_gateway_websocket_event(
         "resource": endpoint,
         "span_type": "web",
     }
-    tracer.set_tags({"_dd.origin": "lambda"})
+    tracer.set_tags(_dd_origin)
     upstream_authorizer_span = None
     finish_time_ns = None
     if decode_authorizer_context:
@@ -893,7 +885,8 @@ def create_inferred_span_from_api_gateway_event(
     )
     method = event.get("httpMethod")
     path = event.get("path")
-    resource = "{0} {1}".format(method, path)
+    resource_path = _get_resource_path(event, request_context)
+    resource = f"{method} {resource_path}"
     tags = {
         "operation_name": "aws.apigateway.rest",
         "http.url": domain + path,
@@ -915,7 +908,7 @@ def create_inferred_span_from_api_gateway_event(
         "resource": resource,
         "span_type": "http",
     }
-    tracer.set_tags({"_dd.origin": "lambda"})
+    tracer.set_tags(_dd_origin)
     upstream_authorizer_span = None
     finish_time_ns = None
     if decode_authorizer_context:
@@ -936,6 +929,16 @@ def create_inferred_span_from_api_gateway_event(
     return span
 
 
+def _get_resource_path(event, request_context):
+    route_key = request_context.get("routeKey") or ""
+    if "{" in route_key:
+        try:
+            return route_key.split(" ")[1]
+        except Exception as e:
+            logger.debug("Error parsing routeKey: %s", e)
+    return event.get("rawPath") or request_context.get("resourcePath") or route_key
+
+
 def create_inferred_span_from_http_api_event(
     event, context, decode_authorizer_context: bool = True
 ):
@@ -945,17 +948,19 @@ def create_inferred_span_from_http_api_event(
     service_name = determine_service_name(
         service_mapping, api_id, "lambda_api_gateway", domain
     )
-    method = request_context.get("http", {}).get("method")
+    http = request_context.get("http") or {}
+    method = http.get("method")
     path = event.get("rawPath")
-    resource = "{0} {1}".format(method, path)
+    resource_path = _get_resource_path(event, request_context)
+    resource = f"{method} {resource_path}"
     tags = {
         "operation_name": "aws.httpapi",
         "endpoint": path,
         "http.url": domain + path,
-        "http.method": request_context.get("http", {}).get("method"),
-        "http.protocol": request_context.get("http", {}).get("protocol"),
-        "http.source_ip": request_context.get("http", {}).get("sourceIp"),
-        "http.user_agent": request_context.get("http", {}).get("userAgent"),
+        "http.method": http.get("method"),
+        "http.protocol": http.get("protocol"),
+        "http.source_ip": http.get("sourceIp"),
+        "http.user_agent": http.get("userAgent"),
         "resource_names": resource,
         "request_id": context.aws_request_id,
         "apiid": api_id,
@@ -967,12 +972,7 @@ def create_inferred_span_from_http_api_event(
         InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async")
     else:
         InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="sync")
-    args = {
-        "service": service_name,
-        "resource": resource,
-        "span_type": "http",
-    }
-    tracer.set_tags({"_dd.origin": "lambda"})
+    tracer.set_tags(_dd_origin)
     inferred_span_start_ns = request_time_epoch_ms * 1e6
     if decode_authorizer_context:
         injected_authorizer_data = get_injected_authorizer_data(event, True)
@@ -980,7 +980,9 @@ def create_inferred_span_from_http_api_event(
             inferred_span_start_ns = injected_authorizer_data.get(
                 Headers.Parent_Span_Finish_Time
             )
-    span = tracer.trace("aws.httpapi", **args)
+    span = tracer.trace(
+        "aws.httpapi", service=service_name, resource=resource, span_type="http"
+    )
     if span:
         span.set_tags(tags)
         span.start_ns = int(inferred_span_start_ns)
@@ -996,21 +998,17 @@ def create_inferred_span_from_sqs_event(event, context):
     service_name = determine_service_name(
         service_mapping, queue_name, "lambda_sqs", "sqs"
     )
+    attrs = event_record.get("attributes") or {}
     tags = {
         "operation_name": "aws.sqs",
         "resource_names": queue_name,
         "queuename": queue_name,
         "event_source_arn": event_source_arn,
         "receipt_handle": event_record.get("receiptHandle"),
-        "sender_id": event_record.get("attributes", {}).get("SenderId"),
+        "sender_id": attrs.get("SenderId"),
     }
     InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async")
-    request_time_epoch = event_record.get("attributes", {}).get("SentTimestamp")
-    args = {
-        "service": service_name,
-        "resource": queue_name,
-        "span_type": "web",
-    }
+    request_time_epoch = attrs.get("SentTimestamp")
     start_time = int(request_time_epoch) / 1000
 
     upstream_span = None
@@ -1039,15 +1037,17 @@ def create_inferred_span_from_sqs_event(event, context):
 
         except Exception as e:
             logger.debug(
-                "Unable to create upstream span from SQS message, with error %s" % e
+                "Unable to create upstream span from SQS message, with error %s", e
             )
             pass
 
     # trace context needs to be set again as it is reset
     # when sns_span.finish executes
     tracer.context_provider.activate(trace_ctx)
-    tracer.set_tags({"_dd.origin": "lambda"})
-    span = tracer.trace("aws.sqs", **args)
+    tracer.set_tags(_dd_origin)
+    span = tracer.trace(
+        "aws.sqs", service=service_name, resource=queue_name, span_type="web"
+    )
     if span:
         span.set_tags(tags)
     span.start = start_time
@@ -1059,8 +1059,8 @@ def create_inferred_span_from_sqs_event(event, context):
 
 def create_inferred_span_from_sns_event(event, context):
     event_record = get_first_record(event)
-    sns_message = event_record.get("Sns")
-    topic_arn = event_record.get("Sns", {}).get("TopicArn")
+    sns_message = event_record.get("Sns") or {}
+    topic_arn = sns_message.get("TopicArn")
     topic_name = topic_arn.split(":")[-1]
     service_name = determine_service_name(
         service_mapping, topic_name, "lambda_sns", "sns"
@@ -1075,21 +1075,19 @@ def create_inferred_span_from_sns_event(event, context):
     }
 
     # Subject not available in SNS => SQS scenario
-    if "Subject" in sns_message and sns_message["Subject"]:
-        tags["subject"] = sns_message.get("Subject")
+    subject = sns_message.get("Subject")
+    if subject:
+        tags["subject"] = subject
 
     InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async")
     sns_dt_format = "%Y-%m-%dT%H:%M:%S.%fZ"
-    timestamp = event_record.get("Sns", {}).get("Timestamp")
+    timestamp = sns_message.get("Timestamp")
     dt = datetime.strptime(timestamp, sns_dt_format)
 
-    args = {
-        "service": service_name,
-        "resource": topic_name,
-        "span_type": "web",
-    }
-    tracer.set_tags({"_dd.origin": "lambda"})
-    span = tracer.trace("aws.sns", **args)
+    tracer.set_tags(_dd_origin)
+    span = tracer.trace(
+        "aws.sns", service=service_name, resource=topic_name, span_type="web"
+    )
     if span:
         span.set_tags(tags)
     span.start = dt.replace(tzinfo=timezone.utc).timestamp()
@@ -1105,6 +1103,7 @@ def create_inferred_span_from_kinesis_event(event, context):
     service_name = determine_service_name(
         service_mapping, stream_name, "lambda_kinesis", "kinesis"
     )
+    kinesis = event_record.get("kinesis") or {}
     tags = {
         "operation_name": "aws.kinesis",
         "resource_names": stream_name,
@@ -1114,20 +1113,15 @@ def create_inferred_span_from_kinesis_event(event, context):
         "event_id": event_id,
         "event_name": event_record.get("eventName"),
         "event_version": event_record.get("eventVersion"),
-        "partition_key": event_record.get("kinesis", {}).get("partitionKey"),
+        "partition_key": kinesis.get("partitionKey"),
     }
     InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async")
-    request_time_epoch = event_record.get("kinesis", {}).get(
-        "approximateArrivalTimestamp"
-    )
+    request_time_epoch = kinesis.get("approximateArrivalTimestamp")
 
-    args = {
-        "service": service_name,
-        "resource": stream_name,
-        "span_type": "web",
-    }
-    tracer.set_tags({"_dd.origin": "lambda"})
-    span = tracer.trace("aws.kinesis", **args)
+    tracer.set_tags(_dd_origin)
+    span = tracer.trace(
+        "aws.kinesis", service=service_name, resource=stream_name, span_type="web"
+    )
     if span:
         span.set_tags(tags)
     span.start = request_time_epoch
@@ -1141,7 +1135,7 @@ def create_inferred_span_from_dynamodb_event(event, context):
     service_name = determine_service_name(
         service_mapping, table_name, "lambda_dynamodb", "dynamodb"
     )
-    dynamodb_message = event_record.get("dynamodb")
+    dynamodb_message = event_record.get("dynamodb") or {}
     tags = {
         "operation_name": "aws.dynamodb",
         "resource_names": table_name,
@@ -1154,16 +1148,11 @@ def create_inferred_span_from_dynamodb_event(event, context):
         "size_bytes": str(dynamodb_message.get("SizeBytes")),
     }
     InferredSpanInfo.set_tags(tags, synchronicity="async", tag_source="self")
-    request_time_epoch = event_record.get("dynamodb", {}).get(
-        "ApproximateCreationDateTime"
+    request_time_epoch = dynamodb_message.get("ApproximateCreationDateTime")
+    tracer.set_tags(_dd_origin)
+    span = tracer.trace(
+        "aws.dynamodb", service=service_name, resource=table_name, span_type="web"
     )
-    args = {
-        "service": service_name,
-        "resource": table_name,
-        "span_type": "web",
-    }
-    tracer.set_tags({"_dd.origin": "lambda"})
-    span = tracer.trace("aws.dynamodb", **args)
     if span:
         span.set_tags(tags)
 
@@ -1173,7 +1162,10 @@ def create_inferred_span_from_dynamodb_event(event, context):
 
 def create_inferred_span_from_s3_event(event, context):
     event_record = get_first_record(event)
-    bucket_name = event_record.get("s3", {}).get("bucket", {}).get("name")
+    s3 = event_record.get("s3") or {}
+    bucket = s3.get("bucket") or {}
+    obj = s3.get("object") or {}
+    bucket_name = bucket.get("name")
     service_name = determine_service_name(
         service_mapping, bucket_name, "lambda_s3", "s3"
     )
@@ -1182,23 +1174,20 @@ def create_inferred_span_from_s3_event(event, context):
         "resource_names": bucket_name,
         "event_name": event_record.get("eventName"),
         "bucketname": bucket_name,
-        "bucket_arn": event_record.get("s3", {}).get("bucket", {}).get("arn"),
-        "object_key": event_record.get("s3", {}).get("object", {}).get("key"),
-        "object_size": str(event_record.get("s3", {}).get("object", {}).get("size")),
-        "object_etag": event_record.get("s3", {}).get("object", {}).get("eTag"),
+        "bucket_arn": bucket.get("arn"),
+        "object_key": obj.get("key"),
+        "object_size": str(obj.get("size")),
+        "object_etag": obj.get("eTag"),
     }
     InferredSpanInfo.set_tags(tags, synchronicity="async", tag_source="self")
     dt_format = "%Y-%m-%dT%H:%M:%S.%fZ"
     timestamp = event_record.get("eventTime")
     dt = datetime.strptime(timestamp, dt_format)
 
-    args = {
-        "service": service_name,
-        "resource": bucket_name,
-        "span_type": "web",
-    }
-    tracer.set_tags({"_dd.origin": "lambda"})
-    span = tracer.trace("aws.s3", **args)
+    tracer.set_tags(_dd_origin)
+    span = tracer.trace(
+        "aws.s3", service=service_name, resource=bucket_name, span_type="web"
+    )
     if span:
         span.set_tags(tags)
     span.start = dt.replace(tzinfo=timezone.utc).timestamp()
@@ -1224,13 +1213,10 @@ def create_inferred_span_from_eventbridge_event(event, context):
     timestamp = event.get("time")
     dt = datetime.strptime(timestamp, dt_format)
 
-    args = {
-        "service": service_name,
-        "resource": source,
-        "span_type": "web",
-    }
-    tracer.set_tags({"_dd.origin": "lambda"})
-    span = tracer.trace("aws.eventbridge", **args)
+    tracer.set_tags(_dd_origin)
+    span = tracer.trace(
+        "aws.eventbridge", service=service_name, resource=source, span_type="web"
+    )
     if span:
         span.set_tags(tags)
     span.start = dt.replace(tzinfo=timezone.utc).timestamp()
@@ -1247,7 +1233,7 @@ def create_function_execution_span(
     trigger_tags,
     parent_span=None,
 ):
-    tags = {}
+    tags = None
     if context:
         function_arn = (context.invoked_function_arn or "").lower()
         tk = function_arn.split(":")
@@ -1266,18 +1252,19 @@ def create_function_execution_span(
             "dd_trace": ddtrace_version,
             "span.name": "aws.lambda",
         }
+    tags = tags or {}
     if is_proactive_init:
         tags["proactive_initialization"] = str(is_proactive_init).lower()
     if trace_context_source == TraceContextSource.XRAY and merge_xray_traces:
         tags["_dd.parent_source"] = trace_context_source
     tags.update(trigger_tags)
-    args = {
-        "service": "aws.lambda",
-        "resource": function_name,
-        "span_type": "serverless",
-    }
-    tracer.set_tags({"_dd.origin": "lambda"})
-    span = tracer.trace("aws.lambda", **args)
+    tracer.set_tags(_dd_origin)
+    span = tracer.trace(
+        "aws.lambda",
+        service="aws.lambda",
+        resource=function_name,
+        span_type="serverless",
+    )
     if span:
         span.set_tags(tags)
     if parent_span:
diff --git a/datadog_lambda/trigger.py b/datadog_lambda/trigger.py
index bbb44b30..68531ebf 100644
--- a/datadog_lambda/trigger.py
+++ b/datadog_lambda/trigger.py
@@ -5,7 +5,7 @@
 
 import base64
 import gzip
-import json
+import ujson as json
 from io import BytesIO, BufferedReader
 from enum import Enum
 from typing import Any
@@ -110,10 +110,10 @@ def get_first_record(event):
 
 def parse_event_source(event: dict) -> _EventSource:
     """Determines the source of the trigger event"""
-    if type(event) is not dict:
+    if not isinstance(event, dict):
         return _EventSource(EventTypes.UNKNOWN)
 
-    event_source = _EventSource(EventTypes.UNKNOWN)
+    event_source = None
 
     request_context = event.get("requestContext")
     if request_context and request_context.get("stage"):
@@ -126,7 +126,7 @@ def parse_event_source(event: dict) -> _EventSource:
             event_source.subtype = EventSubtypes.API_GATEWAY
         if "routeKey" in event:
             event_source.subtype = EventSubtypes.HTTP_API
-        if event.get("requestContext", {}).get("messageDirection"):
+        if request_context.get("messageDirection"):
             event_source.subtype = EventSubtypes.WEBSOCKET
 
     if request_context and request_context.get("elb"):
@@ -151,10 +151,9 @@ def parse_event_source(event: dict) -> _EventSource:
 
     event_record = get_first_record(event)
     if event_record:
-        aws_event_source = event_record.get(
-            "eventSource", event_record.get("EventSource")
+        aws_event_source = event_record.get("eventSource") or event_record.get(
+            "EventSource"
         )
-
         if aws_event_source == "aws:dynamodb":
             event_source = _EventSource(EventTypes.DYNAMODB)
         if aws_event_source == "aws:kinesis":
@@ -165,11 +164,10 @@ def parse_event_source(event: dict) -> _EventSource:
             event_source = _EventSource(EventTypes.SNS)
         if aws_event_source == "aws:sqs":
             event_source = _EventSource(EventTypes.SQS)
-
         if event_record.get("cf"):
             event_source = _EventSource(EventTypes.CLOUDFRONT)
 
-    return event_source
+    return event_source or _EventSource(EventTypes.UNKNOWN)
 
 
 def detect_lambda_function_url_domain(domain: str) -> bool:
@@ -193,20 +191,26 @@ def parse_event_source_arn(source: _EventSource, event: dict, context: Any) -> s
     event_record = get_first_record(event)
     # e.g. arn:aws:s3:::lambda-xyz123-abc890
     if source.to_string() == "s3":
-        return event_record.get("s3", {}).get("bucket", {}).get("arn")
+        s3 = event_record.get("s3")
+        if s3:
+            bucket = s3.get("bucket")
+            if bucket:
+                return bucket.get("arn")
+        return None
 
     # e.g. arn:aws:sns:us-east-1:123456789012:sns-lambda
     if source.to_string() == "sns":
-        return event_record.get("Sns", {}).get("TopicArn")
+        sns = event_record.get("Sns")
+        if sns:
+            return sns.get("TopicArn")
+        return None
 
     # e.g. arn:aws:cloudfront::123456789012:distribution/ABC123XYZ
     if source.event_type == EventTypes.CLOUDFRONT:
         distribution_id = (
             event_record.get("cf", {}).get("config", {}).get("distributionId")
         )
-        return "arn:{}:cloudfront::{}:distribution/{}".format(
-            aws_arn, account_id, distribution_id
-        )
+        return f"arn:{aws_arn}:cloudfront::{account_id}:distribution/{distribution_id}"
 
     # e.g. arn:aws:lambda:<region>:<account_id>:url:<function-name>:<function-qualifier>
     if source.equals(EventTypes.LAMBDA_FUNCTION_URL):
@@ -223,14 +227,18 @@ def parse_event_source_arn(source: _EventSource, event: dict, context: Any) -> s
     # e.g. arn:aws:apigateway:us-east-1::/restapis/xyz123/stages/default
     if source.event_type == EventTypes.API_GATEWAY:
         request_context = event.get("requestContext")
-        return "arn:{}:apigateway:{}::/restapis/{}/stages/{}".format(
-            aws_arn, region, request_context.get("apiId"), request_context.get("stage")
-        )
+        api_id = request_context.get("apiId")
+        stage = request_context.get("stage")
+        return f"arn:{aws_arn}:apigateway:{region}::/restapis/{api_id}/stages/{stage}"
 
     # e.g. arn:aws:elasticloadbalancing:us-east-1:123456789012:targetgroup/lambda-xyz/123
     if source.event_type == EventTypes.ALB:
         request_context = event.get("requestContext")
-        return request_context.get("elb", {}).get("targetGroupArn")
+        if request_context:
+            elb = request_context.get("elb")
+            if elb:
+                return elb.get("targetGroupArn")
+        return None
 
     # e.g. arn:aws:logs:us-west-1:123456789012:log-group:/my-log-group-xyz
     if source.event_type == EventTypes.CLOUDWATCH_LOGS:
@@ -240,9 +248,7 @@ def parse_event_source_arn(source: _EventSource, event: dict, context: Any) -> s
             data = b"".join(BufferedReader(decompress_stream))
         logs = json.loads(data)
         log_group = logs.get("logGroup", "cloudwatch")
-        return "arn:{}:logs:{}:{}:log-group:{}".format(
-            aws_arn, region, account_id, log_group
-        )
+        return f"arn:{aws_arn}:logs:{region}:{account_id}:log-group:{log_group}"
 
     # e.g. arn:aws:events:us-east-1:123456789012:rule/my-schedule
     if source.event_type == EventTypes.CLOUDWATCH_EVENTS and event.get("resources"):
@@ -296,6 +302,13 @@ def extract_http_tags(event):
     return http_tags
 
 
+_http_event_types = (
+    EventTypes.API_GATEWAY,
+    EventTypes.ALB,
+    EventTypes.LAMBDA_FUNCTION_URL,
+)
+
+
 def extract_trigger_tags(event: dict, context: Any) -> dict:
     """
     Parses the trigger event object to get tags to be added to the span metadata
@@ -309,16 +322,15 @@ def extract_trigger_tags(event: dict, context: Any) -> dict:
         if event_source_arn:
             trigger_tags["function_trigger.event_source_arn"] = event_source_arn
 
-    if event_source.event_type in [
-        EventTypes.API_GATEWAY,
-        EventTypes.ALB,
-        EventTypes.LAMBDA_FUNCTION_URL,
-    ]:
+    if event_source.event_type in _http_event_types:
         trigger_tags.update(extract_http_tags(event))
 
     return trigger_tags
 
 
+_str_http_triggers = [et.value for et in _http_event_types]
+
+
 def extract_http_status_code_tag(trigger_tags, response):
     """
     If the Lambda was triggered by API Gateway, Lambda Function URL, or ALB,
@@ -329,15 +341,7 @@ def extract_http_status_code_tag(trigger_tags, response):
     str_event_source = trigger_tags.get("function_trigger.event_source")
     # it would be cleaner if each event type was a constant object that
     # knew some properties about itself like this.
-    str_http_triggers = [
-        et.value
-        for et in [
-            EventTypes.API_GATEWAY,
-            EventTypes.LAMBDA_FUNCTION_URL,
-            EventTypes.ALB,
-        ]
-    ]
-    if str_event_source not in str_http_triggers:
+    if str_event_source not in _str_http_triggers:
         return
 
     status_code = "200"
diff --git a/datadog_lambda/version.py b/datadog_lambda/version.py
new file mode 100644
index 00000000..c7debb23
--- /dev/null
+++ b/datadog_lambda/version.py
@@ -0,0 +1 @@
+__version__ = "5.93.0"
diff --git a/datadog_lambda/wrapper.py b/datadog_lambda/wrapper.py
index 057f048c..ba31f2be 100644
--- a/datadog_lambda/wrapper.py
+++ b/datadog_lambda/wrapper.py
@@ -6,8 +6,8 @@
 import os
 import logging
 import traceback
+import ujson as json
 from importlib import import_module
-import json
 from time import time_ns
 
 from datadog_lambda.extension import should_use_extension, flush_extension
@@ -258,7 +258,9 @@ def _inject_authorizer_span_headers(self, request_id):
         injected_headers[Headers.Parent_Span_Finish_Time] = finish_time_ns
         if request_id is not None:
             injected_headers[Headers.Authorizing_Request_Id] = request_id
-        datadog_data = base64.b64encode(json.dumps(injected_headers).encode()).decode()
+        datadog_data = base64.b64encode(
+            json.dumps(injected_headers, escape_forward_slashes=False).encode()
+        ).decode()
         self.response.setdefault("context", {})
         self.response["context"]["_datadog"] = datadog_data
 
@@ -381,9 +383,8 @@ def _after(self, event, context):
 
 
 def format_err_with_traceback(e):
-    return "Error {}. Traceback: {}".format(
-        e, traceback.format_exc().replace("\n", "\r")
-    )
+    tb = traceback.format_exc().replace("\n", "\r")
+    return f"Error {e}. Traceback: {tb}"
 
 
 datadog_lambda_wrapper = _LambdaDecorator
diff --git a/datadog_lambda/xray.py b/datadog_lambda/xray.py
index 88d108f5..002d13b1 100644
--- a/datadog_lambda/xray.py
+++ b/datadog_lambda/xray.py
@@ -1,47 +1,60 @@
 import os
 import logging
-import json
 import binascii
 import time
 import socket
+import ujson as json
 
 from datadog_lambda.constants import XrayDaemon, XraySubsegment, TraceContextSource
 
 logger = logging.getLogger(__name__)
 
 
-def get_xray_host_port(address):
-    if address == "":
-        logger.debug("X-Ray daemon env var not set, not sending sub-segment")
-        return None
-    parts = address.split(":")
-    if len(parts) <= 1:
-        logger.debug("X-Ray daemon env var not set, not sending sub-segment")
-        return None
-    port = int(parts[1])
-    host = parts[0]
-    return (host, port)
-
-
-def send(host_port_tuple, payload):
-    sock = None
-    try:
-        sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-        sock.setblocking(0)
-        sock.connect(host_port_tuple)
-        sock.send(payload.encode("utf-8"))
-    except Exception as e_send:
-        logger.error("Error occurred submitting to xray daemon: %s", str(e_send))
-    try:
-        sock.close()
-    except Exception as e_close:
-        logger.error("Error while closing the socket: %s", str(e_close))
+class Socket(object):
+    def __init__(self):
+        self.sock = None
+
+    @property
+    def host_port_tuple(self):
+        if not hasattr(self, "_host_port_tuple"):
+            self._host_port_tuple = self._get_xray_host_port(
+                os.environ.get(XrayDaemon.XRAY_DAEMON_ADDRESS, "")
+            )
+        return self._host_port_tuple
+
+    def send(self, payload):
+        if not self.sock:
+            self._connect()
+        try:
+            self.sock.send(payload.encode("utf-8"))
+        except Exception as e_send:
+            logger.error("Error occurred submitting to xray daemon: %s", e_send)
+
+    def _connect(self):
+        self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
+        self.sock.setblocking(0)
+        self.sock.connect(self.host_port_tuple)
+
+    def _get_xray_host_port(self, address):
+        if address == "":
+            logger.debug("X-Ray daemon env var not set, not sending sub-segment")
+            return None
+        parts = address.split(":")
+        if len(parts) <= 1:
+            logger.debug("X-Ray daemon env var not set, not sending sub-segment")
+            return None
+        port = int(parts[1])
+        host = parts[0]
+        return (host, port)
+
+
+sock = Socket()
 
 
 def build_segment_payload(payload):
     if payload is None:
         return None
-    return '{"format": "json", "version": 1}' + "\n" + payload
+    return '{"format": "json", "version": 1}\n' + payload
 
 
 def parse_xray_header(raw_trace_id):
@@ -89,16 +102,14 @@ def build_segment(context, key, metadata):
                     key: metadata,
                 }
             },
-        }
+        },
+        escape_forward_slashes=False,
     )
     return segment
 
 
 def send_segment(key, metadata):
-    host_port_tuple = get_xray_host_port(
-        os.environ.get(XrayDaemon.XRAY_DAEMON_ADDRESS, "")
-    )
-    if host_port_tuple is None:
+    if sock.host_port_tuple is None:
         return None
     context = parse_xray_header(
         os.environ.get(XrayDaemon.XRAY_TRACE_ID_HEADER_NAME, "")
@@ -115,4 +126,4 @@ def send_segment(key, metadata):
         return None
     segment = build_segment(context, key, metadata)
     segment_payload = build_segment_payload(segment)
-    send(host_port_tuple, segment_payload)
+    sock.send(segment_payload)
diff --git a/pyproject.toml b/pyproject.toml
index 3536347f..1db09ba4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "datadog_lambda"
-version = "5.92.0"
+version = "5.93.0"
 description = "The Datadog AWS Lambda Library"
 authors = ["Datadog, Inc. <dev@datadoghq.com>"]
 license = "Apache-2.0"
@@ -28,15 +28,15 @@ python = ">=3.8.0,<4"
 datadog = ">=0.41.0,<1.0.0"
 wrapt = "^1.11.2"
 ddtrace = ">=2.7.2"
+ujson = ">=5.9.0"
 urllib3 = [
     {version = "<2.0.0", python = "<3.11", optional = true},
     {version = "<2.1.0", python = ">=3.11", optional = true},
 ]
-importlib_metadata = {version = "*", python = "<3.8"}
 boto3 = { version = "^1.28.0", optional = true }
-typing_extensions = {version = "^4.0", python = "<3.8"}
 requests = { version ="^2.22.0", optional = true }
 pytest = { version= "^8.0.0", optional = true }
+pytest-benchmark = { version = "^4.0", optional = true }
 flake8 = { version = "^5.0.4", optional = true }
 
 
@@ -45,9 +45,13 @@ dev = [
     "boto3",
     "flake8",
     "pytest",
+    "pytest-benchmark",
     "requests",
 ]
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+addopts = "--benchmark-disable --benchmark-autosave"
diff --git a/scripts/check_layer_size.sh b/scripts/check_layer_size.sh
index 84752fa1..977c0283 100755
--- a/scripts/check_layer_size.sh
+++ b/scripts/check_layer_size.sh
@@ -7,10 +7,9 @@
 
 # Compares layer size to threshold, and fails if below that threshold
 
-# 7 mb size limit
 set -e
-MAX_LAYER_COMPRESSED_SIZE_KB=$(expr 4 \* 1024)
-MAX_LAYER_UNCOMPRESSED_SIZE_KB=$(expr 13 \* 1024)
+MAX_LAYER_COMPRESSED_SIZE_KB=$(expr 5 \* 1024)
+MAX_LAYER_UNCOMPRESSED_SIZE_KB=$(expr 12 \* 1024)
 
 
 LAYER_FILES_PREFIX="datadog_lambda_py"
diff --git a/scripts/publish_prod.sh b/scripts/publish_prod.sh
index f88ac5e2..e138e3d8 100755
--- a/scripts/publish_prod.sh
+++ b/scripts/publish_prod.sh
@@ -53,10 +53,11 @@ if [ "$CONT" != "y" ]; then
     echo "Skipping updating package.json version"
 else
     echo
-    echo "Replacing version in pyproject.toml"
+    echo "Replacing version in pyproject.toml and datadog_lambda/version.py"
     echo
 
     poetry version ${NEW_VERSION}
+    echo "__version__ = \"${NEW_VERSION}\"" > datadog_lambda/version.py
 fi
 
 echo
@@ -85,11 +86,11 @@ if [ "$CONT" != "y" ]; then
 else
     echo "Ensuring you have access to the AWS GovCloud account"
     ddsaml2aws login -a govcloud-us1-fed-human-engineering
-    AWS_PROFILE=govcloud-us1-fed-human-engineering aws sts get-caller-identity
+    aws-vault exec sso-govcloud-us1-fed-engineering -- aws sts get-caller-identity
 
     echo "Publishing layers to GovCloud AWS regions"
     ddsaml2aws login -a govcloud-us1-fed-human-engineering
-    VERSION=$LAYER_VERSION AWS_PROFILE=govcloud-us1-fed-human-engineering ./scripts/publish_layers.sh
+    VERSION=$LAYER_VERSION aws-vault exec sso-govcloud-us1-fed-engineering -- ./scripts/publish_layers.sh
 fi
 
 echo "Answer 'n' if GitLab already did this"
@@ -110,7 +111,7 @@ if [ "$CONT" != "y" ]; then
 else
     echo
     echo 'Publishing updates to github'
-    git commit pyproject.toml -m "Bump version to ${NEW_VERSION}"
+    git commit pyproject.toml datadog_lambda/version.py -m "Bump version to ${NEW_VERSION}"
     git push origin main
     git tag "v$LAYER_VERSION"
     git push origin "refs/tags/v$LAYER_VERSION"
diff --git a/tests/event_samples/api-gateway-v1-parametrized.json b/tests/event_samples/api-gateway-v1-parametrized.json
new file mode 100644
index 00000000..65527ccb
--- /dev/null
+++ b/tests/event_samples/api-gateway-v1-parametrized.json
@@ -0,0 +1,111 @@
+{
+  "resource": "/user/{id}",
+  "path": "/user/42",
+  "httpMethod": "GET",
+  "headers": {
+    "Accept": "*/*",
+    "CloudFront-Forwarded-Proto": "https",
+    "CloudFront-Is-Desktop-Viewer": "true",
+    "CloudFront-Is-Mobile-Viewer": "false",
+    "CloudFront-Is-SmartTV-Viewer": "false",
+    "CloudFront-Is-Tablet-Viewer": "false",
+    "CloudFront-Viewer-ASN": "7922",
+    "CloudFront-Viewer-Country": "US",
+    "Host": "mcwkra0ya4.execute-api.sa-east-1.amazonaws.com",
+    "User-Agent": "curl/8.1.2",
+    "Via": "2.0 xxx.cloudfront.net (CloudFront)",
+    "X-Amz-Cf-Id": "Tz3yUVcJkwOhQGqZgKTzrEHqAoOd8ZprYAHpg2S6BNxdd-Ym79pb6g==",
+    "X-Amzn-Trace-Id": "Root=1-65f49d20-7ba106216238dd0078a5db31",
+    "X-Forwarded-For": "76.115.124.192, 15.158.54.119",
+    "X-Forwarded-Port": "443",
+    "X-Forwarded-Proto": "https"
+  },
+  "multiValueHeaders": {
+    "Accept": [
+      "*/*"
+    ],
+    "CloudFront-Forwarded-Proto": [
+      "https"
+    ],
+    "CloudFront-Is-Desktop-Viewer": [
+      "true"
+    ],
+    "CloudFront-Is-Mobile-Viewer": [
+      "false"
+    ],
+    "CloudFront-Is-SmartTV-Viewer": [
+      "false"
+    ],
+    "CloudFront-Is-Tablet-Viewer": [
+      "false"
+    ],
+    "CloudFront-Viewer-ASN": [
+      "7922"
+    ],
+    "CloudFront-Viewer-Country": [
+      "US"
+    ],
+    "Host": [
+      "mcwkra0ya4.execute-api.sa-east-1.amazonaws.com"
+    ],
+    "User-Agent": [
+      "curl/8.1.2"
+    ],
+    "Via": [
+      "2.0 xxx.cloudfront.net (CloudFront)"
+    ],
+    "X-Amz-Cf-Id": [
+      "Tz3yUVcJkwOhQGqZgKTzrEHqAoOd8ZprYAHpg2S6BNxdd-Ym79pb6g=="
+    ],
+    "X-Amzn-Trace-Id": [
+      "Root=1-65f49d20-7ba106216238dd0078a5db31"
+    ],
+    "X-Forwarded-For": [
+      "76.115.124.192, 15.158.54.119"
+    ],
+    "X-Forwarded-Port": [
+      "443"
+    ],
+    "X-Forwarded-Proto": [
+      "https"
+    ]
+  },
+  "queryStringParameters": null,
+  "multiValueQueryStringParameters": null,
+  "pathParameters": {
+    "id": "42"
+  },
+  "stageVariables": null,
+  "requestContext": {
+    "resourceId": "ojg3nk",
+    "resourcePath": "/user/{id}",
+    "httpMethod": "GET",
+    "extendedRequestId": "Ur19IHYDmjQEU5A=",
+    "requestTime": "15/Mar/2024:19:10:24 +0000",
+    "path": "/dev/user/42",
+    "accountId": "425362996713",
+    "protocol": "HTTP/1.1",
+    "stage": "dev",
+    "domainPrefix": "mcwkra0ya4",
+    "requestTimeEpoch": 1710529824520,
+    "requestId": "e16399f7-e984-463a-9931-745ba021a27f",
+    "identity": {
+      "cognitoIdentityPoolId": null,
+      "accountId": null,
+      "cognitoIdentityId": null,
+      "caller": null,
+      "sourceIp": "76.115.124.192",
+      "principalOrgId": null,
+      "accessKey": null,
+      "cognitoAuthenticationType": null,
+      "cognitoAuthenticationProvider": null,
+      "userArn": null,
+      "userAgent": "curl/8.1.2",
+      "user": null
+    },
+    "domainName": "mcwkra0ya4.execute-api.sa-east-1.amazonaws.com",
+    "apiId": "mcwkra0ya4"
+  },
+  "body": null,
+  "isBase64Encoded": false
+}
diff --git a/tests/event_samples/api-gateway-v2-parametrized.json b/tests/event_samples/api-gateway-v2-parametrized.json
new file mode 100644
index 00000000..89ff72b9
--- /dev/null
+++ b/tests/event_samples/api-gateway-v2-parametrized.json
@@ -0,0 +1,38 @@
+{
+  "version": "2.0",
+  "routeKey": "GET /user/{id}",
+  "rawPath": "/user/42",
+  "rawQueryString": "",
+  "headers": {
+    "accept": "*/*",
+    "content-length": "0",
+    "host": "9vj54we5ih.execute-api.sa-east-1.amazonaws.com",
+    "user-agent": "curl/8.1.2",
+    "x-amzn-trace-id": "Root=1-65f49d71-505edb3b69b8abd513cfa08b",
+    "x-forwarded-for": "76.115.124.192",
+    "x-forwarded-port": "443",
+    "x-forwarded-proto": "https"
+  },
+  "requestContext": {
+    "accountId": "425362996713",
+    "apiId": "9vj54we5ih",
+    "domainName": "9vj54we5ih.execute-api.sa-east-1.amazonaws.com",
+    "domainPrefix": "9vj54we5ih",
+    "http": {
+      "method": "GET",
+      "path": "/user/42",
+      "protocol": "HTTP/1.1",
+      "sourceIp": "76.115.124.192",
+      "userAgent": "curl/8.1.2"
+    },
+    "requestId": "Ur2JtjEfGjQEPOg=",
+    "routeKey": "GET /user/{id}",
+    "stage": "$default",
+    "time": "15/Mar/2024:19:11:45 +0000",
+    "timeEpoch": 1710529905066
+  },
+  "pathParameters": {
+    "id": "42"
+  },
+  "isBase64Encoded": false
+}
diff --git a/tests/integration/snapshots/logs/async-metrics_python310.log b/tests/integration/snapshots/logs/async-metrics_python310.log
index e2101885..bec8aa8a 100644
--- a/tests/integration/snapshots/logs/async-metrics_python310.log
+++ b/tests/integration/snapshots/logs/async-metrics_python310.log
@@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/async-metrics_python311.log b/tests/integration/snapshots/logs/async-metrics_python311.log
index 8d5419c1..1e6a384d 100644
--- a/tests/integration/snapshots/logs/async-metrics_python311.log
+++ b/tests/integration/snapshots/logs/async-metrics_python311.log
@@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -708,6 +708,7 @@ START
 }
 HTTP GET https://datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX
 HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX
+END Duration: XXXX ms Memory Used: XXXX MB
 {
   "traces": [
     [
@@ -736,16 +737,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -834,7 +835,6 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
     ]
   ]
 }
-END Duration: XXXX ms Memory Used: XXXX MB
 START
 {
   "m": "aws.lambda.enhanced.invocations",
@@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/async-metrics_python312.log b/tests/integration/snapshots/logs/async-metrics_python312.log
index 0132e54e..fdf90e98 100644
--- a/tests/integration/snapshots/logs/async-metrics_python312.log
+++ b/tests/integration/snapshots/logs/async-metrics_python312.log
@@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/async-metrics_python38.log b/tests/integration/snapshots/logs/async-metrics_python38.log
index e5b755ac..50a9f700 100644
--- a/tests/integration/snapshots/logs/async-metrics_python38.log
+++ b/tests/integration/snapshots/logs/async-metrics_python38.log
@@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/async-metrics_python39.log b/tests/integration/snapshots/logs/async-metrics_python39.log
index d02e097d..d411dd1e 100644
--- a/tests/integration/snapshots/logs/async-metrics_python39.log
+++ b/tests/integration/snapshots/logs/async-metrics_python39.log
@@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1037,6 +1037,7 @@ START
 }
 HTTP GET https://datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX
 HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX
+END Duration: XXXX ms Memory Used: XXXX MB
 {
   "traces": [
     [
@@ -1063,16 +1064,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1161,7 +1162,6 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
     ]
   ]
 }
-END Duration: XXXX ms Memory Used: XXXX MB
 START
 {
   "m": "aws.lambda.enhanced.invocations",
@@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/sync-metrics_python310.log b/tests/integration/snapshots/logs/sync-metrics_python310.log
index e97b0cb2..97a0cf4d 100644
--- a/tests/integration/snapshots/logs/sync-metrics_python310.log
+++ b/tests/integration/snapshots/logs/sync-metrics_python310.log
@@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/sync-metrics_python311.log b/tests/integration/snapshots/logs/sync-metrics_python311.log
index 84161ca2..bfb38df9 100644
--- a/tests/integration/snapshots/logs/sync-metrics_python311.log
+++ b/tests/integration/snapshots/logs/sync-metrics_python311.log
@@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1073,6 +1073,7 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
   ]
 }
 HTTP POST https://api.datadoghq.com/api/v1/distribution_points Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "Content-Encoding:deflate", "Content-Length:XXXX", "Content-Type:application/json", "DD-API-KEY:XXXX", "User-Agent:datadogpy/XX (python XX; os linux; arch XXXX)", "traceparent:XXX", "tracestate:XXX
+END Duration: XXXX ms Memory Used: XXXX MB
 {
   "traces": [
     [
@@ -1111,7 +1112,6 @@ HTTP POST https://api.datadoghq.com/api/v1/distribution_points Headers: ["Accept
     ]
   ]
 }
-END Duration: XXXX ms Memory Used: XXXX MB
 START
 {
   "m": "aws.lambda.enhanced.invocations",
@@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/sync-metrics_python312.log b/tests/integration/snapshots/logs/sync-metrics_python312.log
index 8b4c74cf..e9e3e339 100644
--- a/tests/integration/snapshots/logs/sync-metrics_python312.log
+++ b/tests/integration/snapshots/logs/sync-metrics_python312.log
@@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/sync-metrics_python38.log b/tests/integration/snapshots/logs/sync-metrics_python38.log
index 4fe60af6..e9e6eea6 100644
--- a/tests/integration/snapshots/logs/sync-metrics_python38.log
+++ b/tests/integration/snapshots/logs/sync-metrics_python38.log
@@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/integration/snapshots/logs/sync-metrics_python39.log b/tests/integration/snapshots/logs/sync-metrics_python39.log
index 98d74ed6..ebc39ab5 100644
--- a/tests/integration/snapshots/logs/sync-metrics_python39.log
+++ b/tests/integration/snapshots/logs/sync-metrics_python39.log
@@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
@@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "http"
       },
@@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.synchronicity": "async",
           "_inferred_span.tag_source": "self",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
@@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "
           "_inferred_span.tag_source": "self",
           "http.status_code": "200",
           "peer.service": "integration-tests-python",
+          "_dd.peer.service.source": "peer.service",
+          "_dd.base_service": "integration-tests-python",
           "_dd.p.dm": "-0",
           "_dd.p.tid": "XXXX",
-          "language": "python",
-          "_dd.peer.service.source": "peer.service",
-          "_dd.base_service": "integration-tests-python"
+          "language": "python"
         },
         "metrics": {
           "process_id": XXXX,
           "_dd.top_level": 1,
-          "_sampling_priority_v1": 1
+          "_sampling_priority_v1": -1
         },
         "type": "web"
       },
diff --git a/tests/test_benchmarks.py b/tests/test_benchmarks.py
new file mode 100644
index 00000000..899e3d7f
--- /dev/null
+++ b/tests/test_benchmarks.py
@@ -0,0 +1,97 @@
+import builtins
+import json
+import os
+import pytest
+
+import ddtrace
+
+from datadog_lambda import metric
+from datadog_lambda import tag_object
+from datadog_lambda import tracing
+from datadog_lambda import trigger
+from datadog_lambda import xray
+
+from datadog_lambda.constants import XrayDaemon, XraySubsegment
+
+from tests.utils import get_mock_context, reset_xray_connection
+
+
+event_samples_dir = "tests/event_samples"
+event_samples = [f[:-5] for f in os.listdir(event_samples_dir) if f.endswith(".json")]
+
+
+def test_metric_write_metric_point_to_stdout(benchmark, monkeypatch):
+    monkeypatch.setattr(builtins, "print", lambda *a, **k: None)
+    benchmark(
+        metric.write_metric_point_to_stdout,
+        "metric_name",
+        1,
+        tags=[
+            "tag1:value1",
+            "tag2:value2",
+            "tag3:value3",
+        ],
+    )
+
+
+@pytest.mark.parametrize("event", event_samples)
+def test_tag_object_tag_object(event, benchmark):
+    with open(f"{event_samples_dir}/{event}.json") as f:
+        event = json.load(f)
+    span = ddtrace.tracer.start_span("test")
+    benchmark(tag_object.tag_object, span, "function.request", event)
+
+
+@pytest.mark.parametrize("event", event_samples)
+def test_tracing_create_inferred_span(event, benchmark):
+    with open(f"{event_samples_dir}/{event}.json") as f:
+        event = json.load(f)
+    context = get_mock_context()
+    benchmark(tracing.create_inferred_span, event, context)
+
+
+@pytest.mark.parametrize("event", event_samples)
+def test_tracing_extract_dd_trace_context(event, benchmark):
+    with open(f"{event_samples_dir}/{event}.json") as f:
+        event = json.load(f)
+    context = get_mock_context()
+    benchmark(tracing.extract_dd_trace_context, event, context)
+
+
+@pytest.mark.parametrize("event", event_samples)
+def test_trigger_parse_event_source(event, benchmark):
+    with open(f"{event_samples_dir}/{event}.json") as f:
+        event = json.load(f)
+    benchmark(trigger.parse_event_source, event)
+
+
+@pytest.mark.parametrize("event", event_samples)
+def test_trigger_extract_trigger_tags(event, benchmark):
+    with open(f"{event_samples_dir}/{event}.json") as f:
+        event = json.load(f)
+    context = get_mock_context()
+    benchmark(trigger.extract_trigger_tags, event, context)
+
+
+def test_xray_send_segment(benchmark, monkeypatch):
+    reset_xray_connection()
+
+    monkeypatch.setenv(XrayDaemon.XRAY_DAEMON_ADDRESS, "localhost:9000")
+    monkeypatch.setenv(
+        XrayDaemon.XRAY_TRACE_ID_HEADER_NAME,
+        "Root=1-5e272390-8c398be037738dc042009320;Parent=94ae789b969f1cc5;Sampled=1;Lineage=c6c5b1b9:0",
+    )
+
+    def socket_send(*a, **k):
+        sends.append(True)
+
+    sends = []
+    monkeypatch.setattr("socket.socket.send", socket_send)
+
+    key = {
+        "trace-id": "12345678901234567890123456789012",
+        "parent-id": "1234567890123456",
+        "sampling-priority": "1",
+    }
+    benchmark(xray.send_segment, XraySubsegment.TRACE_KEY, key)
+    assert sends
diff --git a/tests/test_metric.py b/tests/test_metric.py
index 24c9a56d..992084b9 100644
--- a/tests/test_metric.py
+++ b/tests/test_metric.py
@@ -10,7 +10,7 @@
 from datadog_lambda.metric import lambda_metric
 from datadog_lambda.api import decrypt_kms_api_key, KMS_ENCRYPTION_CONTEXT_KEY
 from datadog_lambda.thread_stats_writer import ThreadStatsWriter
-from datadog_lambda.tags import _format_dd_lambda_layer_tag
+from datadog_lambda.tags import dd_lambda_layer_tag
 
 
 class TestLambdaMetric(unittest.TestCase):
@@ -23,12 +23,13 @@ def test_lambda_metric_tagged_with_dd_lambda_layer(self):
         lambda_metric("test", 1)
         lambda_metric("test", 1, 123, [])
         lambda_metric("test", 1, tags=["tag1:test"])
-        expected_tag = _format_dd_lambda_layer_tag()
         self.mock_metric_lambda_stats.distribution.assert_has_calls(
             [
-                call("test", 1, timestamp=None, tags=[expected_tag]),
-                call("test", 1, timestamp=123, tags=[expected_tag]),
-                call("test", 1, timestamp=None, tags=["tag1:test", expected_tag]),
+                call("test", 1, timestamp=None, tags=[dd_lambda_layer_tag]),
+                call("test", 1, timestamp=123, tags=[dd_lambda_layer_tag]),
+                call(
+                    "test", 1, timestamp=None, tags=["tag1:test", dd_lambda_layer_tag]
+                ),
             ]
         )
 
@@ -37,9 +38,8 @@ def test_lambda_metric_tagged_with_dd_lambda_layer(self):
     def test_lambda_metric_flush_to_log_with_extension(self):
         os.environ["DD_FLUSH_TO_LOG"] = "True"
         lambda_metric("test", 1)
-        expected_tag = _format_dd_lambda_layer_tag()
         self.mock_metric_lambda_stats.distribution.assert_has_calls(
-            [call("test", 1, timestamp=None, tags=[expected_tag])]
+            [call("test", 1, timestamp=None, tags=[dd_lambda_layer_tag])]
         )
         del os.environ["DD_FLUSH_TO_LOG"]
 
diff --git a/tests/test_module_name.py b/tests/test_module_name.py
index 21396465..a6faf829 100644
--- a/tests/test_module_name.py
+++ b/tests/test_module_name.py
@@ -1,7 +1,5 @@
 import unittest
 
-from unittest.mock import patch, call, MagicMock
-
 from datadog_lambda.module_name import modify_module_name
 
 
diff --git a/tests/test_tags.py b/tests/test_tags.py
index 66c0c39f..07daa8e0 100644
--- a/tests/test_tags.py
+++ b/tests/test_tags.py
@@ -1,30 +1,25 @@
 import unittest
 
-from unittest.mock import patch, MagicMock
+from unittest.mock import patch
 
+from datadog_lambda.tags import parse_lambda_tags_from_arn
 
-from datadog_lambda.tags import parse_lambda_tags_from_arn, get_runtime_tag
-
-
-def get_mock_context(
-    invoked_function_arn="arn:aws:lambda:us-east-1:1234597598159:function:swf-hello-test:$Latest",
-    function_version="1",
-):
-    lambda_context = MagicMock()
-    lambda_context.invoked_function_arn = invoked_function_arn
-    lambda_context.function_version = function_version
-    return lambda_context
+from tests.utils import get_mock_context
 
 
 class TestMetricTags(unittest.TestCase):
     def setUp(self):
-        patcher = patch("datadog_lambda.tags.python_version_tuple")
+        patcher = patch("sys.version_info", (3, 12, 0))
         self.mock_python_version_tuple = patcher.start()
         self.addCleanup(patcher.stop)
 
     def test_parse_lambda_tags_from_arn_latest(self):
+        lambda_context = get_mock_context()
+        lambda_context.invoked_function_arn = (
+            "arn:aws:lambda:us-east-1:1234597598159:function:swf-hello-test:$Latest"
+        )
         self.assertListEqual(
-            parse_lambda_tags_from_arn(get_mock_context()),
+            parse_lambda_tags_from_arn(lambda_context),
             [
                 "region:us-east-1",
                 "account_id:1234597598159",
@@ -63,7 +58,3 @@ def test_parse_lambda_tags_from_arn_alias(self):
                 "resource:swf-hello-test:my_alias-1",
             ],
         )
-
-    def test_get_runtime_tag(self):
-        self.mock_python_version_tuple.return_value = ("3", "12", "0")
-        self.assertEqual(get_runtime_tag(), "runtime:python3.12")
diff --git a/tests/test_tracing.py b/tests/test_tracing.py
index 0aa38613..296bd0dc 100644
--- a/tests/test_tracing.py
+++ b/tests/test_tracing.py
@@ -5,7 +5,7 @@
 import os
 import unittest
 
-from unittest.mock import MagicMock, Mock, patch, call
+from unittest.mock import Mock, patch, call
 
 import ddtrace
 
@@ -39,6 +39,9 @@
 )
 from datadog_lambda.trigger import EventTypes
 
+from tests.utils import get_mock_context
+
+
 function_arn = "arn:aws:lambda:us-west-1:123457598159:function:python-layer-test"
 
 fake_xray_header_value = (
@@ -50,29 +53,6 @@
 event_samples = "tests/event_samples/"
 
 
-class ClientContext(object):
-    def __init__(self, custom=None):
-        self.custom = custom
-
-
-def get_mock_context(
-    aws_request_id="request-id-1",
-    memory_limit_in_mb="256",
-    invoked_function_arn=function_arn,
-    function_version="1",
-    function_name="Function",
-    custom=None,
-):
-    lambda_context = MagicMock()
-    lambda_context.aws_request_id = aws_request_id
-    lambda_context.memory_limit_in_mb = memory_limit_in_mb
-    lambda_context.invoked_function_arn = invoked_function_arn
-    lambda_context.function_version = function_version
-    lambda_context.function_name = function_name
-    lambda_context.client_context = ClientContext(custom)
-    return lambda_context
-
-
 def with_trace_propagation_style(style):
     style_list = list(style.split(","))
 
@@ -96,6 +76,167 @@ def _wrap(*args, **kwargs):
     return _wrapper
 
 
+_test_extract_dd_trace_context = (
+    ("api-gateway", Context(trace_id=12345, span_id=67890, sampling_priority=2)),
+    (
+        "api-gateway-no-apiid",
+        Context(trace_id=12345, span_id=67890, sampling_priority=2),
+    ),
+    (
+        "api-gateway-non-proxy",
+        Context(trace_id=12345, span_id=67890, sampling_priority=2),
+    ),
+    (
+        "api-gateway-non-proxy-async",
+        Context(trace_id=12345, span_id=67890, sampling_priority=2),
+    ),
+    (
+        "api-gateway-websocket-connect",
+        Context(trace_id=12345, span_id=67890, sampling_priority=2),
+    ),
+    (
+        "api-gateway-websocket-default",
+        Context(trace_id=12345, span_id=67890, sampling_priority=2),
+    ),
+    (
+        "api-gateway-websocket-disconnect",
+        Context(trace_id=12345, span_id=67890, sampling_priority=2),
+    ),
+    (
+        "authorizer-request-api-gateway-v1",
+        Context(
+            trace_id=13478705995797221209,
+            span_id=8471288263384216896,
+            sampling_priority=1,
+        ),
+    ),
+    ("authorizer-request-api-gateway-v1-cached", None),
+    (
+        "authorizer-request-api-gateway-v2",
+        Context(
+            trace_id=14356983619852933354,
+            span_id=12658621083505413809,
+            sampling_priority=1,
+        ),
+    ),
+    ("authorizer-request-api-gateway-v2-cached", None),
+    (
+        "authorizer-request-api-gateway-websocket-connect",
+        Context(
+            trace_id=5351047404834723189,
+            span_id=18230460631156161837,
+            sampling_priority=1,
+        ),
+    ),
+    ("authorizer-request-api-gateway-websocket-message", None),
+    (
+        "authorizer-token-api-gateway-v1",
+        Context(
+            trace_id=17874798268144902712,
+            span_id=16184667399315372101,
+            sampling_priority=1,
+        ),
+    ),
+    ("authorizer-token-api-gateway-v1-cached", None),
+    ("cloudfront", None),
+    ("cloudwatch-events", None),
+    ("cloudwatch-logs", None),
+    ("custom", None),
+    ("dynamodb", None),
+    ("eventbridge-custom", Context(trace_id=12345, span_id=67890, sampling_priority=2)),
+    (
+        "eventbridge-sqs",
+        Context(
+            trace_id=7379586022458917877,
+            span_id=2644033662113726488,
+            sampling_priority=1,
+        ),
+    ),
+    ("http-api", Context(trace_id=12345, span_id=67890, sampling_priority=2)),
+    (
+        "kinesis",
+        Context(
+            trace_id=4948377316357291421,
+            span_id=2876253380018681026,
+            sampling_priority=1,
+        ),
+    ),
+    (
+        "kinesis-batch",
+        Context(
+            trace_id=4948377316357291421,
+            span_id=2876253380018681026,
+            sampling_priority=1,
+        ),
+    ),
+    ("lambda-url", None),
+    ("s3", None),
+    (
+        "sns-b64-msg-attribute",
+        Context(
+            trace_id=4948377316357291421,
+            span_id=6746998015037429512,
+            sampling_priority=1,
+        ),
+    ),
+    (
+        "sns-batch",
+        Context(
+            trace_id=4948377316357291421,
+            span_id=6746998015037429512,
+            sampling_priority=1,
+        ),
+    ),
+    (
+        "sns-string-msg-attribute",
+        Context(
+            trace_id=4948377316357291421,
+            span_id=6746998015037429512,
+            sampling_priority=1,
+        ),
+    ),
+    (
+        "sqs-batch",
+        Context(
+            trace_id=2684756524522091840,
+            span_id=7431398482019833808,
+            sampling_priority=1,
+        ),
+    ),
+    (
+        "sqs-java-upstream",
+        Context(
+            trace_id=7925498337868555493,
+            span_id=5245570649555658903,
+            sampling_priority=1,
+        ),
+    ),
+    (
+        "sqs-string-msg-attribute",
+        Context(
+            trace_id=2684756524522091840,
+            span_id=7431398482019833808,
+            sampling_priority=1,
+        ),
+    ),
+    ({"headers": None}, None),
+)
+
+
+@pytest.mark.parametrize("event,expect", _test_extract_dd_trace_context)
+def test_extract_dd_trace_context(event, expect):
+    if isinstance(event, str):
+        with open(f"{event_samples}{event}.json") as f:
+            event = json.load(f)
+    ctx = get_mock_context()
+
+    actual, _, _ = extract_dd_trace_context(event, ctx)
+    assert (expect is None) is (actual is None)
+    assert (expect is None) or actual.trace_id == expect.trace_id
+    assert (expect is None) or actual.span_id == expect.span_id
+    assert (expect is None) or actual.sampling_priority == expect.sampling_priority
+
+
 class TestExtractAndGetDDTraceContext(unittest.TestCase):
     def setUp(self):
         global dd_tracing_enabled
@@ -1217,7 +1358,7 @@ def __init__(self, service, start, span_type, parent_name=None, tags=None):
                 "http.url": "70ixmpl4fl.execute-api.us-east-2.amazonaws.com/path/to/resource",
                 "operation_name": "aws.apigateway.rest",
                 "request_id": "123",
-                "resource_names": "POST /path/to/resource",
+                "resource_names": "POST /{proxy+}",
                 "stage": "prod",
             },
         ),
@@ -1291,6 +1432,50 @@ def __init__(self, service, start, span_type, parent_name=None, tags=None):
             },
         ),
     ),
+    (
+        "api-gateway-v1-parametrized",
+        _Span(
+            service="mcwkra0ya4.execute-api.sa-east-1.amazonaws.com",
+            start=1710529824.52,
+            span_type="http",
+            tags={
+                "_dd.origin": "lambda",
+                "_inferred_span.synchronicity": "sync",
+                "_inferred_span.tag_source": "self",
+                "apiid": "mcwkra0ya4",
+                "apiname": "mcwkra0ya4",
+                "endpoint": "/user/42",
+                "http.method": "GET",
+                "http.url": "mcwkra0ya4.execute-api.sa-east-1.amazonaws.com/user/42",
+                "operation_name": "aws.apigateway.rest",
+                "request_id": "123",
+                "resource_names": "GET /user/{id}",
+                "stage": "dev",
+            },
+        ),
+    ),
+    (
+        "api-gateway-v2-parametrized",
+        _Span(
+            service="9vj54we5ih.execute-api.sa-east-1.amazonaws.com",
+            start=1710529905.066,
+            span_type="http",
+            tags={
+                "_dd.origin": "lambda",
+                "_inferred_span.synchronicity": "sync",
+                "_inferred_span.tag_source": "self",
+                "apiid": "9vj54we5ih",
+                "apiname": "9vj54we5ih",
+                "endpoint": "/user/42",
+                "http.method": "GET",
+                "http.url": "9vj54we5ih.execute-api.sa-east-1.amazonaws.com/user/42",
+                "operation_name": "aws.httpapi",
+                "request_id": "123",
+                "resource_names": "GET /user/{id}",
+                "stage": "$default",
+            },
+        ),
+    ),
     (
         "api-gateway-websocket-default",
         _Span(
@@ -1555,7 +1740,7 @@ def __init__(self, service, start, span_type, parent_name=None, tags=None):
                 "http.url": "70ixmpl4fl.execute-api.us-east-2.amazonaws.com/path/to/resource",
                 "operation_name": "aws.apigateway.rest",
                 "request_id": "123",
-                "resource_names": "POST /path/to/resource",
+                "resource_names": "POST /{proxy+}",
                 "stage": "prod",
             },
         ),
@@ -1773,127 +1958,6 @@ def test_create_inferred_span(mock_span_finish, source, expect):
 
 
 class TestInferredSpans(unittest.TestCase):
-    def test_extract_context_from_eventbridge_event(self):
-        event_sample_source = "eventbridge-custom"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_type = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 12345)
-        self.assertEqual(context.span_id, 67890),
-        self.assertEqual(context.sampling_priority, 2)
-
-    def test_extract_dd_trace_context_for_eventbridge(self):
-        event_sample_source = "eventbridge-custom"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_type = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 12345)
-        self.assertEqual(context.span_id, 67890)
-
-    def test_extract_context_from_eventbridge_sqs_event(self):
-        event_sample_source = "eventbridge-sqs"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-
-        ctx = get_mock_context()
-        context, source, event_type = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 7379586022458917877)
-        self.assertEqual(context.span_id, 2644033662113726488)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_sqs_event_with_string_msg_attr(self):
-        event_sample_source = "sqs-string-msg-attribute"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_type = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 2684756524522091840)
-        self.assertEqual(context.span_id, 7431398482019833808)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_sqs_batch_event(self):
-        event_sample_source = "sqs-batch"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_source = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 2684756524522091840)
-        self.assertEqual(context.span_id, 7431398482019833808)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_sqs_java_upstream_event(self):
-        event_sample_source = "sqs-java-upstream"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_type = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 7925498337868555493)
-        self.assertEqual(context.span_id, 5245570649555658903)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_sns_event_with_string_msg_attr(self):
-        event_sample_source = "sns-string-msg-attribute"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_source = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 4948377316357291421)
-        self.assertEqual(context.span_id, 6746998015037429512)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_sns_event_with_b64_msg_attr(self):
-        event_sample_source = "sns-b64-msg-attribute"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_source = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 4948377316357291421)
-        self.assertEqual(context.span_id, 6746998015037429512)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_sns_batch_event(self):
-        event_sample_source = "sns-batch"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_source = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 4948377316357291421)
-        self.assertEqual(context.span_id, 6746998015037429512)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_kinesis_event(self):
-        event_sample_source = "kinesis"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_source = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 4948377316357291421)
-        self.assertEqual(context.span_id, 2876253380018681026)
-        self.assertEqual(context.sampling_priority, 1)
-
-    def test_extract_context_from_kinesis_batch_event(self):
-        event_sample_source = "kinesis-batch"
-        test_file = event_samples + event_sample_source + ".json"
-        with open(test_file, "r") as event:
-            event = json.load(event)
-        ctx = get_mock_context()
-        context, source, event_source = extract_dd_trace_context(event, ctx)
-        self.assertEqual(context.trace_id, 4948377316357291421)
-        self.assertEqual(context.span_id, 2876253380018681026)
-        self.assertEqual(context.sampling_priority, 1)
-
     @patch("datadog_lambda.tracing.submit_errors_metric")
     def test_mark_trace_as_error_for_5xx_responses_getting_400_response_code(
         self, mock_submit_errors_metric
@@ -1915,14 +1979,6 @@ def test_mark_trace_as_error_for_5xx_responses_sends_error_metric_and_set_error_
         mock_submit_errors_metric.assert_called_once()
         self.assertEqual(1, mock_span.error)
 
-    def test_no_error_with_nonetype_headers(self):
-        lambda_ctx = get_mock_context()
-        ctx, source, event_type = extract_dd_trace_context(
-            {"headers": None},
-            lambda_ctx,
-        )
-        self.assertEqual(ctx, None)
-
 
 class TestStepFunctionsTraceContext(unittest.TestCase):
     def test_deterministic_m5_hash(self):
diff --git a/tests/test_trigger.py b/tests/test_trigger.py
index 2f514811..59178b1e 100644
--- a/tests/test_trigger.py
+++ b/tests/test_trigger.py
@@ -11,16 +11,12 @@
     extract_http_status_code_tag,
 )
 
+from tests.utils import get_mock_context
+
 event_samples = "tests/event_samples/"
 function_arn = "arn:aws:lambda:us-west-1:123457598159:function:python-layer-test"
 
 
-def get_mock_context(invoked_function_arn=function_arn):
-    lambda_context = MagicMock()
-    lambda_context.invoked_function_arn = invoked_function_arn
-    return lambda_context
-
-
 class TestGetEventSourceAndARN(unittest.TestCase):
     def test_event_source_api_gateway(self):
         event_sample_source = "api-gateway"
diff --git a/tests/test_version.py b/tests/test_version.py
new file mode 100644
index 00000000..ca3c8f03
--- /dev/null
+++ b/tests/test_version.py
@@ -0,0 +1,7 @@
+import importlib.metadata
+from datadog_lambda import __version__
+
+
+def test_version():
+    # test version in __init__ matches version in pyproject.toml
+    assert importlib.metadata.version("datadog-lambda") == __version__
diff --git a/tests/test_wrapper.py b/tests/test_wrapper.py
index 141e245a..13fef2b6 100644
--- a/tests/test_wrapper.py
+++ b/tests/test_wrapper.py
@@ -3,30 +3,17 @@
 import os
 import unittest
 
-from unittest.mock import patch, call, ANY, MagicMock
+from unittest.mock import patch, call, ANY
 from datadog_lambda.constants import TraceHeader
 
 import datadog_lambda.wrapper as wrapper
+import datadog_lambda.xray as xray
 from datadog_lambda.metric import lambda_metric
 from datadog_lambda.thread_stats_writer import ThreadStatsWriter
 from ddtrace import Span, tracer
 from ddtrace.internal.constants import MAX_UINT_64BITS
 
-
-def get_mock_context(
-    aws_request_id="request-id-1",
-    memory_limit_in_mb="256",
-    invoked_function_arn="arn:aws:lambda:us-west-1:123457598159:function:python-layer-test:1",
-    function_version="1",
-    client_context={},
-):
-    lambda_context = MagicMock()
-    lambda_context.aws_request_id = aws_request_id
-    lambda_context.memory_limit_in_mb = memory_limit_in_mb
-    lambda_context.invoked_function_arn = invoked_function_arn
-    lambda_context.function_version = function_version
-    lambda_context.client_context = client_context
-    return lambda_context
+from tests.utils import get_mock_context, reset_xray_connection
 
 
 class TestDatadogLambdaWrapper(unittest.TestCase):
@@ -61,31 +48,32 @@ def setUp(self):
         self.mock_patch_all = patcher.start()
         self.addCleanup(patcher.stop)
 
-        patcher = patch("datadog_lambda.cold_start.is_cold_start")
-        self.mock_is_cold_start = patcher.start()
-        self.mock_is_cold_start.return_value = True
+        patcher = patch("datadog_lambda.tags.get_cold_start_tag")
+        self.mock_get_cold_start_tag = patcher.start()
+        self.mock_get_cold_start_tag.return_value = "cold_start:true"
         self.addCleanup(patcher.stop)
 
-        patcher = patch("datadog_lambda.tags.python_version_tuple")
-        self.mock_python_version_tuple = patcher.start()
-        self.mock_python_version_tuple.return_value = ("3", "9", "10")
+        patcher = patch("datadog_lambda.tags.runtime_tag", "runtime:python3.9")
+        self.mock_runtime_tag = patcher.start()
         self.addCleanup(patcher.stop)
 
         patcher = patch("datadog_lambda.metric.write_metric_point_to_stdout")
         self.mock_write_metric_point_to_stdout = patcher.start()
         self.addCleanup(patcher.stop)
 
-        patcher = patch("datadog_lambda.tags.get_library_version_tag")
-        self.mock_format_dd_lambda_layer_tag = patcher.start()
+        patcher = patch(
+            "datadog_lambda.tags.library_version_tag", "datadog_lambda:v6.6.6"
+        )
         # Mock the layer version so we don't have to update tests on every version bump
-        self.mock_format_dd_lambda_layer_tag.return_value = "datadog_lambda:v6.6.6"
+        self.mock_library_version_tag = patcher.start()
+        self.addCleanup(patcher.stop)
 
-        patcher = patch("datadog_lambda.tags._format_dd_lambda_layer_tag")
-        self.mock_format_dd_lambda_layer_tag = patcher.start()
-        # Mock the layer version so we don't have to update tests on every version bump
-        self.mock_format_dd_lambda_layer_tag.return_value = (
-            "dd_lambda_layer:datadog-python39_X.X.X"
+        patcher = patch(
+            "datadog_lambda.metric.dd_lambda_layer_tag",
+            "dd_lambda_layer:datadog-python39_X.X.X",
         )
+        # Mock the layer version so we don't have to update tests on every version bump
+        self.mock_dd_lambda_layer_tag = patcher.start()
         self.addCleanup(patcher.stop)
 
     def test_datadog_lambda_wrapper(self):
@@ -231,7 +219,7 @@ def lambda_handler(event, context):
                         "region:us-west-1",
                         "account_id:123457598159",
                         "functionname:python-layer-test",
-                        "resource:python-layer-test:1",
+                        "resource:python-layer-test",
                         "cold_start:true",
                         "memorysize:256",
                         "runtime:python3.9",
@@ -262,7 +250,7 @@ def lambda_handler(event, context):
                         "region:us-west-1",
                         "account_id:123457598159",
                         "functionname:python-layer-test",
-                        "resource:python-layer-test:1",
+                        "resource:python-layer-test",
                         "cold_start:true",
                         "memorysize:256",
                         "runtime:python3.9",
@@ -278,7 +266,7 @@ def lambda_handler(event, context):
                         "region:us-west-1",
                         "account_id:123457598159",
                         "functionname:python-layer-test",
-                        "resource:python-layer-test:1",
+                        "resource:python-layer-test",
                         "cold_start:true",
                         "memorysize:256",
                         "runtime:python3.9",
@@ -317,7 +305,7 @@ def lambda_handler(event, context):
                         "region:us-west-1",
                         "account_id:123457598159",
                         "functionname:python-layer-test",
-                        "resource:python-layer-test:1",
+                        "resource:python-layer-test",
                         "cold_start:true",
                         "memorysize:256",
                         "runtime:python3.9",
@@ -333,7 +321,7 @@ def lambda_handler(event, context):
                         "region:us-west-1",
                         "account_id:123457598159",
                         "functionname:python-layer-test",
-                        "resource:python-layer-test:1",
+                        "resource:python-layer-test",
                         "cold_start:true",
                         "memorysize:256",
                         "runtime:python3.9",
@@ -354,7 +342,7 @@ def lambda_handler(event, context):
 
         lambda_handler(lambda_event, get_mock_context())
 
-        self.mock_is_cold_start.return_value = False
+        self.mock_get_cold_start_tag.return_value = "cold_start:false"
 
         lambda_handler(
             lambda_event, get_mock_context(aws_request_id="second-request-id")
@@ -369,7 +357,7 @@ def lambda_handler(event, context):
                         "region:us-west-1",
                         "account_id:123457598159",
                         "functionname:python-layer-test",
-                        "resource:python-layer-test:1",
+                        "resource:python-layer-test",
                         "cold_start:true",
                         "memorysize:256",
                         "runtime:python3.9",
@@ -385,7 +373,7 @@ def lambda_handler(event, context):
                         "region:us-west-1",
                         "account_id:123457598159",
                         "functionname:python-layer-test",
-                        "resource:python-layer-test:1",
+                        "resource:python-layer-test",
                         "cold_start:false",
                         "memorysize:256",
                         "runtime:python3.9",
@@ -466,7 +454,9 @@ def lambda_handler(event, context):
         )
 
     def test_no_enhanced_metrics_without_env_var(self):
-        os.environ["DD_ENHANCED_METRICS"] = "false"
+        patcher = patch("datadog_lambda.metric.enhanced_metrics_enabled", False)
+        patcher.start()
+        self.addCleanup(patcher.stop)
 
         @wrapper.datadog_lambda_wrapper
         def lambda_handler(event, context):
@@ -479,8 +469,6 @@ def lambda_handler(event, context):
 
         self.mock_write_metric_point_to_stdout.assert_not_called()
 
-        del os.environ["DD_ENHANCED_METRICS"]
-
     def test_only_one_wrapper_in_use(self):
         patcher = patch("datadog_lambda.wrapper.submit_invocations_metric")
         self.mock_submit_invocations_metric = patcher.start()
@@ -546,6 +534,7 @@ def lambda_handler(event, context):
         lambda_context = get_mock_context()
         test_span = tracer.trace("test_span")
         trace_ctx = tracer.current_trace_context()
+        trace_ctx.sampling_priority = 1
         test_span.finish()
         lambda_handler.inferred_span = test_span
         lambda_handler.make_inferred_span = False
@@ -603,7 +592,9 @@ class TestLambdaWrapperWithTraceContext(unittest.TestCase):
         },
     )
     def test_event_bridge_sqs_payload(self):
-        patcher = patch("datadog_lambda.xray.send")
+        reset_xray_connection()
+
+        patcher = patch("datadog_lambda.xray.sock.send")
         mock_send = patcher.start()
         self.addCleanup(patcher.stop)
 
@@ -636,7 +627,7 @@ def handler(event, context):
         self.assertEqual(result.span_id, aws_lambda_span.span_id)
         self.assertEqual(result.sampling_priority, 1)
         mock_send.assert_called_once()
-        (_, raw_payload), _ = mock_send.call_args
+        (raw_payload,), _ = mock_send.call_args
         payload = json.loads(raw_payload[33:])  # strip formatting prefix
         self.assertEqual(self.xray_root, payload["trace_id"])
         self.assertEqual(self.xray_parent, payload["parent_id"])
diff --git a/tests/test_xray.py b/tests/test_xray.py
index ac3594a9..7f33f891 100644
--- a/tests/test_xray.py
+++ b/tests/test_xray.py
@@ -4,15 +4,14 @@
 
 from unittest.mock import MagicMock, patch
 
-from datadog_lambda.xray import (
-    get_xray_host_port,
-    build_segment_payload,
-    build_segment,
-    send_segment,
-)
+from datadog_lambda.xray import build_segment_payload, build_segment, send_segment, sock
+from tests.utils import reset_xray_connection
 
 
 class TestXRay(unittest.TestCase):
+    def setUp(self):
+        reset_xray_connection()
+
     def tearDown(self):
         if os.environ.get("_X_AMZN_TRACE_ID"):
             os.environ.pop("_X_AMZN_TRACE_ID")
@@ -21,15 +20,15 @@ def tearDown(self):
         return super().tearDown()
 
     def test_get_xray_host_port_empty_(self):
-        result = get_xray_host_port("")
+        result = sock._get_xray_host_port("")
         self.assertIsNone(result)
 
     def test_get_xray_host_port_invalid_value(self):
-        result = get_xray_host_port("myVar")
+        result = sock._get_xray_host_port("myVar")
         self.assertIsNone(result)
 
     def test_get_xray_host_port_success(self):
-        result = get_xray_host_port("mySuperHost:1000")
+        result = sock._get_xray_host_port("mySuperHost:1000")
         self.assertEqual("mySuperHost", result[0])
         self.assertEqual(1000, result[1])
 
@@ -40,7 +39,7 @@ def test_send_segment_sampled_out(self):
         ] = "Root=1-5e272390-8c398be037738dc042009320;Parent=94ae789b969f1cc5;Sampled=0;Lineage=c6c5b1b9:0"
 
         with patch(
-            "datadog_lambda.xray.send", MagicMock(return_value=None)
+            "datadog_lambda.xray.sock.send", MagicMock(return_value=None)
         ) as mock_send:
             # XRay trace won't be sampled according to the trace header.
             send_segment("my_key", {"data": "value"})
@@ -52,7 +51,7 @@ def test_send_segment_sampled(self):
             "_X_AMZN_TRACE_ID"
         ] = "Root=1-5e272390-8c398be037738dc042009320;Parent=94ae789b969f1cc5;Sampled=1;Lineage=c6c5b1b9:0"
         with patch(
-            "datadog_lambda.xray.send", MagicMock(return_value=None)
+            "datadog_lambda.xray.sock.send", MagicMock(return_value=None)
         ) as mock_send:
             # X-Ray trace will be sampled according to the trace header.
             send_segment("my_key", {"data": "value"})
diff --git a/tests/utils.py b/tests/utils.py
new file mode 100644
index 00000000..0f246e68
--- /dev/null
+++ b/tests/utils.py
@@ -0,0 +1,36 @@
+from unittest.mock import MagicMock
+
+function_arn = "arn:aws:lambda:us-west-1:123457598159:function:python-layer-test"
+
+
+class ClientContext(object):
+    def __init__(self, custom=None):
+        self.custom = custom
+
+
+def get_mock_context(
+    aws_request_id="request-id-1",
+    memory_limit_in_mb="256",
+    invoked_function_arn=function_arn,
+    function_version="1",
+    function_name="Function",
+    custom=None,
+):
+    lambda_context = MagicMock()
+    lambda_context.aws_request_id = aws_request_id
+    lambda_context.memory_limit_in_mb = memory_limit_in_mb
+    lambda_context.invoked_function_arn = invoked_function_arn
+    lambda_context.function_version = function_version
+    lambda_context.function_name = function_name
+    lambda_context.client_context = ClientContext(custom)
+    return lambda_context
+
+
+def reset_xray_connection():
+    from datadog_lambda.xray import sock
+
+    if hasattr(sock, "_host_port_tuple"):
+        del sock._host_port_tuple
+    if sock.sock:
+        sock.sock.close()
+        sock.sock = None