What are the most common performance testing bottlenecks in Cloud-based applications?

All answers to this question.

Monitor the "Cold Start" times if you are using Serverless functions (Lambda). That’s a huge performance killer for infrequent users.

   Answered 2024-11-06 by Karen Phillips

• Great point, Karen. We actually had to implement "Provisioned Concurrency" for our login service because the Lambda cold start was causing a 3-second delay that failed our QA benchmarks.

     Commented 2024-11-07 by Emily Rodriguez

Should we be testing for "Chaos Engineering" scenarios as part of our cloud performance strategy?

   Answered 2024-11-07 by Robert Miller

• Robert, yes! Using something like AWS Fault Injection Simulator is a great way to see how your app handles a zone failure. Performance isn't just about speed; it's about resilience. If a database node fails, does your latency spike to unusable levels, or does the failover happen seamlessly? You won't know unless you break it on purpose.

     Commented 2024-11-09 by Steven Harris

In the cloud, "Latency" and "Cost" are your new bottlenecks. While auto-scaling handles the load, it can mask underlying code inefficiencies that spike your AWS bill. In a 2024 migration, we used JMeter to test "Scaling Latency"—how long it actually takes for a new instance to spin up and start taking traffic. If your app takes 5 minutes to boot, your users will see errors before the scaling kicks in. You need to tune your "Cooldown" periods and "Warm-up" scripts to ensure a smooth user experience.

   Answered 2024-12-20 by Dorothy Adams