How to Test API Rate Limiting Without Angering Users
from Software Testing with Fexingo: QA, Automation, and Reliable Software Engineering Hosted by Fexingo
Rate limiting is a silent killer of user experience when done wrong. In this episode, Lucas and Luna dig into why most API rate-limit tests only check the 429 status code and miss the real problems: retry storms, jitter, and Redis failover. They walk through a real incident at a rideshare company where a naive rate limiter turned a surge in demand into a five-hour outage, and how testing with injected client clock skew and burst patterns would have caught it. You'll learn the difference between testing the limiter and testing the system around it, why you need to verify your retry-After header is actually honored by your own SDK, and how to use chaos-style fault injection on your Redis cluster to make sure your backup limiter kicks in. If you've ever gotten a 429 and wondered why your app froze, this one's for you. #APIRateLimiting #RateLimiterTesting #APIReliability #BackendTesting #429Status #RetryStorm #RedisFailover #ChaosEngineering #LatencyTesting #ClientClockSkew #BurstTraffic #SDKTesting #QA #SoftwareTesting #Technology #FexingoBusiness #BusinessPodcast #SoftwareEngineering Keep every episode free: buymeacoffee.com/fexingo
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