How behaviour-driven development uses concrete examples to create shared understanding, guide implementation and provide useful automated evidence, without turning every acceptance criterion into a brittle browser test.
How to design HTTP APIs around clear resources and contracts: names, methods, validation, errors, pagination, idempotency, versioning and the evidence needed to evolve an API safely.
How to distinguish capacity problems from architectural ones, recognise evidence for extracting a service and move a bounded capability without losing data ownership, reliability or delivery speed.
How unit and integration tests provide different evidence, where mocks and real adapters belong, and how to build a suite that stays fast without testing away production risk.
A practical approach to selecting valuable browser journeys, writing stable Selenium tests, controlling data and authentication, and turning failures into useful delivery evidence.
A practical testing structure for Java and Spring Boot: pure unit tests, focused service tests, web slices, repository integration and fewer mocks that merely replay the implementation.
A practical guide to building GitHub Actions workflows with useful feedback, narrow permissions, deliberate caching, durable artifacts and safer deployment boundaries.
How to compose promises, preserve useful errors, cancel obsolete work, limit concurrency and test asynchronous behaviour without timing-dependent tests.
How to model representative traffic with Grafana k6, define checks and thresholds, avoid coordinated overload, and correlate latency and errors with application behaviour in Grafana.
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