aws-perf-load-testing

You can benchmark AWS Lambda cold start times and memory usage by generating performance tests with pytest-benchmark. This approach measures latency and resource utilization directly from your Python handler code under various conditions.

The best way to load test API Gateway endpoints is by simulating concurrent users with Locust. This generates realistic test payloads from your API specifications to assess system behavior and validate throughput under stress.

Yes, you can use pytest-benchmark and Locust to test AWS Batch jobs. The skill generates configurations that measure batch throughput and assesses performance scalability for batch processing workloads.

To generate realistic test payloads for AWS performance testing, the skill reads your existing handler code and API specifications. It then automatically creates matching configurations for your load tests.

Yes, this load testing approach works with Python Lambda handlers. It analyzes your Python code to create performance benchmarks and load tests specifically tailored to your AWS Lambda functions.

To validate API Gateway error rates under concurrent user load, you simulate traffic using Locust. This measures throughput and error rates, ensuring your endpoint meets performance requirements like 1000 requests per minute.