16 minutes readKey takeaways Testing services in isolation misses the failures that only appear when they call each other. Define performance goals per service before automating, or the pipeline reports numbers nobody acts on. Bottlenecks usually sit at the boundaries: serialisation, retries and connection pools. Why Most Microservices Load Testing Fails – and How Automation Fixes It… Read more »
5 minutes readKey takeaways Rest Assured suits Java teams who want API tests living beside the rest of the code. Its fluent syntax is readable but hides HTTP detail, which matters when debugging. Use it for functional API testing; reach for a load tool when you need volume. Related reading 10 Critical REST API Interview Questions for… Read more »
19 minutes readKey takeaways An online tester removes local setup, which matters most when you are debugging someone else's API. Test error paths and auth, not just the documented happy request. Save requests as a collection so a one-off check becomes a repeatable test. When your application crashes during peak traffic or returns cryptic error messages to… Read more »
6 minutes readKey takeaways Concurrency testing looks for races, deadlocks and corruption, which load testing will not surface. It needs shared state to be interesting. Stateless endpoints rarely reward it. Failures are intermittent by nature, so run repeatedly rather than once. Understanding Concurrency Testing Definition and Importance Concurrency testing is a form of software testing that simulates… Read more »
5 minutes readKey takeaways Code-free load testing lowers the barrier for teams without a dedicated performance engineer. The value is comparability: the same benchmark across stacks tells you where the difference really is. Check what the tool generates before trusting it. A plausible-looking script can still test the wrong path. Introduction: The Challenge of Performance Testing Across… Read more »
4 minutes readKey takeaways Concurrent, simultaneous and active users are three different numbers, and mixing them invalidates the test. Derive concurrency from real traffic data: sessions, duration and think time. Round up and test beyond your estimate. Launch traffic rarely matches the forecast. When you’re gearing up for a big launch—be it a product update, marketing campaign,… Read more »
6 minutes readKey takeaways The hard part is realism: matching real user behaviour, data and think time. Infrastructure parity is the second problem, since a smaller environment fails differently. Generating load is the easy bit. Deciding what the numbers mean is where the work is. Load and performance testing are critical aspects of ensuring that web applications… Read more »
