Latest Performance-Optimization Articles

AWS Lambda performance optimization is not only about cold starts. A slow Lambda function can be caused by heavy dependencies, poor memory configuration, slow network calls, database connection problems, inefficient batch settings, or downstream systems that cannot handle Lambda concurrency.

API performance is not limited to producing the lowest possible response time. A production API must remain responsive under normal traffic, sudden spikes, slow downstream services, partial infrastructure failures, and unexpected client behavior.

Caching is one of the most important patterns for building scalable systems. It reduces latency, lowers database load, absorbs traffic spikes, and helps systems serve repeated requests faster.