6 minutes readKey takeaways Virtual users model concurrency; RPS models throughput. They are not interchangeable. The same RPS can come from few busy users or many idle ones, and the server behaves differently. Choose the one that matches how your traffic actually arrives. Introduction Hey there! If you’ve ever been curious about performance testing, you’ve probably come… Read more »
5 minutes readKey takeaways The recurring obstacles are environment parity, test data and interpreting results. Most of them are planning problems rather than tooling problems. Solve the one currently blocking a release rather than working down a list. Introduction Welcome to the ultimate resource for mastering load testing! Whether you’re a non-technical business owner, a software engineer,… Read more »
4 minutes readKey takeaways A mock that never fails teaches you nothing. Model timeouts and errors, not just the happy path. Over-mocking tests your mocks. Keep at least one path that hits the real dependency. Mocks drift. Pin them to the contract so a provider change breaks the test rather than production. API testing is a bit… Read more »
3 minutes readKey takeaways Slow JMeter runs are usually the test plan, not the server: listeners, assertions and excess samplers. Remove requests that do not contribute to the scenario you are measuring. Run non-GUI. The GUI itself consumes the resources you wanted for load. Welcome to the world of JMeter! Are you aiming to boost the speed… Read more »
3 minutes readKey takeaways Most lessons are about realism: data, think time and environment parity. Testing late is the expensive mistake, since findings become architectural by then. A result nobody acts on is the same as not testing. 1. Introduction Hey there! Let’s talk about load testing. Think of it as the gym session for your website… Read more »
5 minutes readKey takeaways QA is broader than finding bugs: it covers process, risk and release confidence. A QA team embedded with developers catches problems earlier than one at the end. Its output is information for a release decision, not a pass or fail stamp. I. Introduction to Quality Assurance: Your Software’s Safety Net Imagine you’ve just… Read more »
4 minutes readKey takeaways Azure autoscaling reacts after load arrives, so a sharp ramp can fail while the platform is still scaling. Test the scale-out behaviour itself, not just the steady state you end up in. Watch platform quotas as closely as your own metrics. They cap you before your code does. Introduction to Azure Web Apps… Read more »
