Automation in General
What automation is, the four parts every automation has, why we automate, when it is worth it and what it costs, before any testing tool.
What automation is, the four parts every automation has, why we automate, when it is worth it and what it costs, before any testing tool.
Build the everyday dashboard with one row per golden signal, add an alert on api ERROR log lines, and trigger it on purpose to watch it fire.
How a team watches a live system every day, using the four golden signals, one always-on dashboard per system and a few well-chosen alerts.
The words you hear in every performance testing conversation, from concurrent users and peak load to think time, pacing, latency, throughput and bottleneck.
A practical guide to LoadLitmus, the on-premise web dashboard we use to run, store and report JMeter performance tests.
What to watch on the server while a load test runs, how to take a baseline first, and how to line up the load tool's timeline with Grafana.
What monitoring is, the four steps every setup has, the two kinds of signal (metrics and logs) and why it matters, before any tool.
What performance testing is, where it sits in the testing family, and how load, stress, spike, endurance and scalability tests differ.
How a performance engagement runs end to end, from client requirements to a signed-off report, with the tester's part in each phase.
The mental model of test automation, its moving parts, where tests run, test levels, suite types and commonly confused pairs.
How a test automation suite goes from candidate flows to a trusted regression suite, with the tester's part in each phase and what to do when a test fails.
Send k6 results to Prometheus, put them on one Grafana dashboard next to the server, and read cause and effect during a load test.
The signals a tester cannot see from outside the app, why they matter in a load test, and how to ask the developers for them.