Reliable Cost-Effective and Smart Scaling for Dynamic Workloads
October 23, 2025

Reliable Cost-Effective and Smart Scaling for Dynamic Workloads

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon EC2 Auto Scaling

In our organization, we use Amazon EC2 Auto Scaling to automatically adjust compute capacity based on workload demand for our product, scaling out during peak usage and scaling in during off-hours to save costs is the main purpose. Our use case primarily covers backend application servers, data processing workloads, and batch jobs that have fluctuating demand. It also integrates seamlessly with our Elastic Load Balancer.

Pros

  • Intelligently adds or removes instances based on traffic or workload metrics.
  • Eg: During business hours, our customer portal experiences high traffic.

Cons

  • Complex Initial Setup and Configuration
  • CloudWatch alarms require several interconnected steps. A more guided, visual setup workflow or better default templates could make onboarding easier.
  • One of the biggest advantages we’ve seen is the reduction in infrastructure costs.
  • The setup phase required a significant time investment.
I gave Amazon EC2 Auto Scaling an 8 out of 10 because it delivers strong value, reliability, and cost efficiency. But predictive scaling and scale-in behavior are sometimes less accurate. Monitoring and debugging scaling events could be more user-friendly.

Do you think Amazon EC2 Auto Scaling delivers good value for the price?

Yes

Are you happy with Amazon EC2 Auto Scaling's feature set?

Yes

Did Amazon EC2 Auto Scaling live up to sales and marketing promises?

Yes

Did implementation of Amazon EC2 Auto Scaling go as expected?

Yes

Would you buy Amazon EC2 Auto Scaling again?

Yes

we are using it for web applications. Our customer-facing portal gets heavy traffic during business hours but drops significantly at night. Amazon EC2 Auto Scaling adds instances in the morning and removes them in the evening automatically, keeping performance high while reducing costs.

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