What Is a CI Build? Continuous Integration Explained Step by Step
What a CI build actually is: triggers, stages, caching and artefacts explained, and how continuous integration keeps your main branch releasable.
Practical advice for engineers who want to ship better software, faster.
What a CI build actually is: triggers, stages, caching and artefacts explained, and how continuous integration keeps your main branch releasable.
A working catalogue of caching patterns and mechanisms with code examples: cache-aside, read-through, write-through, write-behind, refresh-ahead and more.
A practical guide to the transactional outbox pattern: how to publish events reliably from a database write, avoid dual-write bugs, and handle replay.
What is legacy code? A clear definition for developers, why Michael Feathers defines it as code without tests, and how to tell debt from legacy.
Break dependencies in legacy code safely. A practical guide to sprout method, wrap method, and seams from Working Effectively with Legacy Code.
A practical guide to secrets management: stop committing tokens, pick the right vault, rotate cleanly, and keep CI from leaking credentials in logs.
A practical guide to setting and tracking SLOs: pick meaningful SLIs, calculate error budgets, alert on burn rate, and avoid the metrics that mislead teams.
GitHub Actions patterns for faster, safer CI: reusable workflows, matrix builds, OIDC, dependency caching, concurrency control, and secret handling that scales.
How architecture decision records help engineering teams capture context, avoid repeated debates, and ship better systems. A practical guide with examples.