DevOps
Thresholds, metrics and results of a k6 test
Read the summary of a k6 test, understand the built-in metrics (http_req_duration, http_req_failed, iterations), define thresholds aligned with SLOs and c…
Guides & insights
A library for curious minds
Observability
Linting Dockerfiles with Hadolint and docker build --check
Spot Dockerfile errors and bad practices before building: Hadolint, its rules, thresholds, and BuildKit built-in checks.
Observability
Advanced Davis AI: anomaly detection, causal, predictive and generative AI
Understand Davis AI: static thresholds, auto-adaptive and seasonal baselines, causal analysis and root cause via Smartscape, forecasts, Davis CoPilot and …
Observability
Real User Monitoring (RUM) and Core Web Vitals: measuring what users experience
Why observe the front end, what RUM measures, Core Web Vitals (LCP, INP, CLS) and their thresholds, and the difference between RUM and synthetic monitorin…
DevOps
k6 in continuous integration and on Kubernetes (k6-operator)
Automate performance tests: k6 in GitHub Actions and GitLab CI with blocking thresholds, distributed tests on Kubernetes with k6-operator and the TestRun …
DevOps
Performance testing best practices with k6
Checklist for useful load tests: objectives, realistic scenarios, environment, thresholds, observability, automation and interpreting results.
Observability
Writing good Prometheus alerting rules (and testing them)
Design useful alerts: alert on symptoms, choose for and thresholds, severity and team labels, annotations and runbooks, and unit tests with promtool.
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