# Stress Testing

Stress testing is a type of performance testing that evaluates how a system behaves when pushed beyond its normal operating capacity. The goal is to identify the system's breaking point, observe how it fails (gracefully or catastrophically), and verify that it recovers properly once the load subsides.

Unlike load testing, which verifies performance under expected traffic volumes, stress testing intentionally exceeds those limits. Testers gradually increase the request rate, number of concurrent connections, or payload sizes until the system degrades or fails. This reveals bottlenecks such as memory leaks, connection pool exhaustion, database lock contention, and inadequate timeout configurations.

For API systems, stress testing validates that the API gateway, backend services, and databases can handle traffic spikes without data loss or extended outages. It also verifies that protective mechanisms like rate limiting, circuit breakers, and auto-scaling respond correctly under extreme conditions. Serverless platforms have their own concurrency and rate limits, and stress testing helps teams understand these boundaries and configure appropriate safeguards.


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