10 minutes readKey takeaways The bottleneck was found by measuring, not by guessing at the obvious candidates. Targeted changes to a small number of calls delivered most of the improvement. Re-test after each change so you know which one actually mattered. Case Study: How Targeted Load Testing Cut API Response Times by 89% When Slow APIs Threaten… Read more »
19 minutes readKey takeaways Most API test time goes on setup and data, not on the requests themselves. Reuse authentication and pre-seed data so the run measures the API rather than the fixture. Run the smallest test that would catch the regression you actually care about. Why API Performance Testing Fails – and Why Speed Matters Many… Read more »
5 minutes readKey takeaways Performance engineering is a cycle across the lifecycle, not a test before release. Set targets from user expectation and business impact rather than from current numbers. The cheapest fixes come from design decisions made before code exists. Every second your software slows down, you lose customers. Studies show that a delay of just… Read more »
5 minutes readKey takeaways APM tells you what is slow in production; load testing tells you what will be slow before release. Choose on trace quality and how quickly you can get from an alert to the offending call. Cost scales with data volume, so sampling policy matters as much as the feature list. Imagine your users… Read more »
7 minutes readKey takeaways Most REST interview questions probe whether you understand statelessness and idempotency. Be able to explain status code choices, since that is where vague answers show. Knowing when REST is the wrong choice is as useful as defending it. REST APIs continue to be a cornerstone of modern software development, connecting systems and enabling… Read more »
3 minutes readKey takeaways Monitor what users experience first, then the infrastructure underneath it. Alert on symptoms rather than causes, or you will page people for things nobody acts on. Every alert should have an owner and a documented response, otherwise it becomes noise. Effective monitoring is crucial for maintaining robust application performance, proactive issue detection, and… Read more »
9 minutes readKey takeaways Monitor from outside Azure as well as inside, or you miss what customers experience. Alert on latency percentiles and error rate, not on average response time. Watch platform limits alongside app metrics, since quotas throttle before the code fails. APIs are the backbone of many modern applications, enabling them to interact seamlessly with… Read more »
