Testing
Snapshot testing works seamlessly in a local development environment but introduces specific challenges in CI/CD pipelines: snapshots may differ across operating systems, developers can't run jest -u in CI, and snapshot updates need to make it into the repository without blocking deployments. This guide covers the patterns
Testing
As engineering teams grow, test environment management becomes one of the biggest bottlenecks to shipping fast. Shared environments become contention points. Data gets corrupted. The QA environment drifts from production. Someone always needs the staging server at the wrong time. This guide covers the strategies, tools, and architecture decisions that
Testing
"Test data as code" is the practice of managing test data with the same rigor as application code — version controlled, reviewed, and deployed through your CI/CD pipeline. It's the natural extension of infrastructure as code and configuration as code into the testing layer. When test
Continuous Deployment
Continuous deployment changes the fundamental constraint of software quality assurance. In a traditional release cycle, you have hours or days to test before a release. With continuous deployment — deploying multiple times per day, sometimes dozens of times — you have minutes. Often less. This doesn't mean you test less.
Platform Engineering
Developer portals are the front door to your internal developer platform. When the portal is broken — catalog entries missing, API docs stale, scaffolder failing silently — developers lose trust in the platform. This guide covers how to test developer portals built on Backstage (and similar tools): catalog data integrity, API documentation
Platform Engineering
Platform engineering teams need their own measurement framework — not just the DORA metrics they report for product teams. This guide covers the KPIs that matter for IDP reliability: golden path success rates, self-service workflow latency, platform API availability, test coverage breadth, and how to connect testing metrics to business outcomes.
Platform Engineering
A golden path is the recommended, paved workflow for developers on your platform — "create a new microservice," "onboard a new team," "deploy to production." If the golden path is broken, the entire engineering organization is blocked. This guide covers how to define, instrument, and
Platform Engineering
Crossplane turns Kubernetes into a universal control plane for infrastructure — but untested compositions are ticking time bombs. This guide covers the full Crossplane testing stack: unit-style testing with kuttl, Uptest for provider integration tests, composition validation with crossplane beta validate, and end-to-end infrastructure tests that provision real cloud resources in
CI/CD
Dagger.io flips the CI/CD model on its head: instead of YAML pipelines that are impossible to test locally, you write your pipelines in Python, TypeScript, or Go — and run them anywhere. The same pipeline runs on your laptop, in GitHub Actions, and in GitLab CI without modification. This
CI/CD
Both Dagger and GitHub Actions run your tests in CI. The difference is how you define and debug those pipelines. This guide compares them on the things that matter when you're running test suites: local execution, caching, services, parallelism, and debugging when something breaks. The Core Difference GitHub
Testing
Test interference is one of the subtlest sources of test suite unreliability. Tests that pass in isolation fail when run together. Tests that pass in one order fail in another. A test that worked for six months suddenly starts failing after an unrelated test is added. The cause, almost always,
Testing
Most teams treat test environment provisioning as an operations problem: file a ticket, wait for an engineer to spin something up, hope it matches what you actually need. Infrastructure as Code flips this. When your test environments are defined in Terraform, any team member can provision a complete, correctly configured