[go: up one dir, main page]

Try our new research platform with insights from 80,000+ expert users
Amazon EC2 Auto Scaling Logo

Amazon EC2 Auto Scaling Reviews

4.5 out of 5
Badge Leader
What is Amazon EC2 Auto Scaling?
Featured Amazon EC2 Auto Scaling reviews
Amazon EC2 Auto Scaling mindshare
As of November 2025, the mindshare of Amazon EC2 Auto Scaling in the Compute Service category stands at 8.5%, down from 12.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Compute Service Market Share Distribution
ProductMarket Share (%)
Amazon EC2 Auto Scaling8.5%
AWS Lambda16.6%
AWS Batch15.6%
Other59.3%
Compute Service
PeerResearch reports based on Amazon EC2 Auto Scaling reviews
TypeTitleDate
CategoryCompute ServiceNov 25, 2025Download
ProductReviews, tips, and advice from real usersNov 25, 2025Download
Suggested products
TitleRatingMindshareRecommending
Apache Spark4.211.4%90%68 interviewsAdd to research
AWS Lambda4.316.6%94%90 interviewsAdd to research
 
 
Key learnings from peers
Last updated Sep 24, 2025
Valuable FeaturesRoom for Improvement
ROIPricing
Popular Use Cases
Service and SupportDeploymentScalabilityStability
Review data by company size
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise9
Large Enterprise23
By reviewers
By visitors reading reviews
Company SizeCount
Small Business35
Midsize Enterprise10
Large Enterprise64
By visitors reading reviews
Top industries
By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Performing Arts
8%
University
8%
Government
7%
Retailer
6%
Comms Service Provider
5%
Real Estate/Law Firm
4%
Educational Organization
4%
Logistics Company
3%
Hospitality Company
3%
Wholesaler/Distributor
3%
Construction Company
2%
Recreational Facilities/Services Company
2%
Legal Firm
2%
Healthcare Company
2%
Transportation Company
2%
Non Profit
1%
Marketing Services Firm
1%
Media Company
1%
Agriculture
1%
Outsourcing Company
1%
Pharma/Biotech Company
1%
Venture Capital & Private Equity Firm
1%
Wellness & Fitness Company
1%
 
Amazon EC2 Auto Scaling Reviews Summary
Author infoRatingReview Summary
Scrum Master/ Agile Coach at Porch Group3.5I've used Amazon EC2 Auto Scaling for years to ensure high availability and cost efficiency, though occasional regional issues and setup complexity exist; overall, it scales effectively and reliably when configured with proper thresholds and policies.
Senior Analyst - Data Engineer at a tech vendor with 10,001+ employees5.0I found Amazon EC2 Auto Scaling easy to use, reliable, and cost-effective for managing workloads, especially during peak times. While setup and scaling were straightforward, I think adding LLM integration could further improve configuration and user experience.
Cloud Architect at Acmegrade5.0I’ve used Amazon EC2 Auto Scaling for nearly two years and found it scalable, reliable, and cost-effective, though the documentation could be clearer and more region-specific to better support beginners like me.
Senior AWS Consultant at Quantum Integrators4.5I've used Amazon EC2 Auto Scaling for years to manage performance and uptime, appreciating its automated scaling, health checks, and reliability, though occasional network issues remain; overall, it's met our needs well across multiple AWS environments.
Works5.0No summary available
Sales Director for West Africa at Atomic Computing4.5No summary available
Technical Lead at Cellulant Kenya4.0Amazon EC2 Auto Scaling allows us to efficiently scale virtual servers for various applications. While it integrates well with AWS services, transitioning to Kubernetes can be cost-effective for underutilized instances, prompting us to consider cloud-native solutions from the start.
Sr. DevOps & Cloud Manager at Applied Solar Technologies India Pvt. Ltd.4.0I use Amazon EC2 Auto Scaling to manage instance capacities and trigger scaling actions based on CPU thresholds. While it's valuable for certain workloads, it lacks flexibility compared to GCP, limiting customization of resource configurations for specific needs.