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In modern DevOps workflows, a well-structured CI/CD pipeline automates building, testing, and deploying your application. In this guide, we’ll extend our existing pipeline—unit testing, code coverage, and Docker containerization—to include deployments to Kubernetes (development and production), integration tests, and a manual approval step.

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Pipeline Stages Overview

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1. Unit Testing

First, install project dependencies and run your unit tests to catch regressions early.
Ensure your test reports (e.g., JUnit XML) are stored in a known directory so your CI tool can archive them.

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2. Code Coverage

Measure code coverage to identify untested parts of the codebase.

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3. Docker Containerization

Package the application into a Docker image, verify it locally, then push to your registry (Docker Hub, AWS ECR, etc.).

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4. Deploy to Kubernetes (Dev) + Integration Tests

Apply your Kubernetes manifests to the development namespace, then validate functionality through the Dev Ingress.
Use environment-specific ConfigMap or Secret manifests to configure your dev environment. Keep secrets encrypted (e.g., Sealed Secrets).

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5. Manual Approval

Introduce a manual gate to ensure that a team lead or QA engineer reviews the dev deployment results before promoting to production.
Skipping this approval can lead to unverified changes hitting production. Always review test logs and integration results.

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6. Deploy to Kubernetes (Prod) + Smoke Tests

Upon approval, deploy the identical manifests to your production namespace and execute a quick smoke test.

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Next Steps

Before writing your CI/CD workflow (e.g., GitHub Actions, GitLab CI, Jenkins Pipeline), ensure all Kubernetes best practices are in place:
  • Namespace isolation for dev and prod
  • Resource requests and limits
  • Liveness and readiness probes
  • Secure handling of secrets

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