IaC Testing
Kustomize makes Kubernetes manifest management tractable. It does not make it safe. Overlays can silently remove resource limits, merge in insecure defaults, or produce structurally invalid YAML that only breaks at apply time. Testing Kustomize configurations before kubectl apply means catching those failures in CI—not during an incident. The
IaC Testing
Compliance frameworks like CIS Benchmarks contain hundreds of controls. Auditing them manually—or trusting that your IaC applied them correctly—is a recipe for drift. InSpec turns benchmark requirements into executable tests that run after provisioning and on a schedule. Here's how to go beyond the sample profiles
IaC Testing
The basics of Atlantis—comment atlantis plan on a PR, review the plan, apply—are well documented. What's less covered is how to enforce policy at plan time, build reusable workflow components, and test your Atlantis configuration before it breaks a production PR. This post goes deep on
Testing
Getting BDD tests to pass on a developer's laptop is one problem. Getting them to run reliably in a CI/CD pipeline — in parallel, with good reporting, fast feedback, and minimal flakiness — is a different problem entirely. Many teams set up Cucumber locally but struggle to make it
IaC Testing
Spacelift sits between Atlantis (self-hosted, minimal) and Terraform Cloud (SaaS, opinionated). It handles Terraform, Pulumi, Ansible, and CloudFormation from a single platform. But its differentiating features—OPA-based policies, drift detection, and stack dependency graphs—require deliberate configuration to be useful. Here's how to build a tested, policy-driven Spacelift
IaC Testing
Basic Molecule usage—spin up a Docker container, run a playbook, verify with Ansible—covers maybe 30% of real-world scenarios. When your roles provision multiple nodes, interact with cloud APIs, or require OS-specific behavior, you need the advanced toolkit. This guide covers multi-instance testing, the delegated driver, custom verifiers, and
Test Automation
Dark launch is the practice of running a new version of a service in production — receiving real requests, doing real work — while still serving responses from the current version. Users see nothing different. Your new service processes every request, you measure its behavior, and only when you are confident does
Testing
Gradual rollouts and canary deployments reduce risk but introduce new testing problems: how do you test that the rollout percentage is correct, that monitoring detects regressions, and that rollback works before you need it in production? This guide covers testing strategies for the full progressive delivery lifecycle. What Makes Progressive
DevOps
Atlantis automates Terraform plan and apply through pull requests. But Atlantis itself needs testing: workflow configuration, plan output validation, policy enforcement, and server health checks. This guide covers testing Atlantis workflows locally with atlantis-local, validating plan outputs with custom scripts, enforcing Terraform policies with OPA and Conftest, and monitoring Atlantis
Testing
SPF, DKIM, and DMARC misconfigurations are the most common reason transactional emails land in spam. This guide shows how to validate these DNS records in CI so you catch deliverability regressions before they reach production users. We cover automated DNS checks, DKIM signature verification, and integration with GitHub Actions. Why
DevOps
Crossplane Compositions map abstract claims (XR) to concrete managed resources. A bug in patch-and-transform logic can create the wrong resources or delete existing ones when a new claim is submitted. crossplane beta render validates Composition logic locally without touching a real Kubernetes cluster. uptest runs integration tests that create and
DevOps
AWS CDK generates CloudFormation templates from TypeScript, Python, or Java code. The CDK Assertions library lets you test the generated template — verifying resource configurations without deploying anything. CDK snapshot tests catch unintended template changes. CDK integ tests validate actual deployments in real AWS accounts. Together, these three patterns give you