adminWhat Is CI/CD In DevOps?
CI/CD is a controlled delivery pipeline. CI means continuous integration: developers merge code frequently and automated checks run early. CD means continuous delivery or deployment: tested code can move toward production in a repeatable way.
The important idea is simple: do not trust memory, manual steps, or random deployment habits. Put the release process into a pipeline so every change follows the same path.
DevOps Production Playbook
Use this section to understand where the concept fits in a real software delivery system: pipeline stage, production risk, detection signals, rollback, security, and big-company standard.
Teams need a repeatable way to test, build, and deploy code without depending on manual release steps.
CI/CD is a conveyor belt for software changes. Every commit should move through checks before it reaches production.
A developer opens a pull request. The pipeline runs linting, tests, security checks, builds a Docker image, and deploys to staging. Production release happens only after checks pass.
GitHub Actions, GitLab CI, Jenkins, Docker, artifact registry, test runner, deployment script, secret manager.
git push origin main; docker build -t app:latest .; docker run --rm app:latest; npm test; pytest; echo $CI
name: ci; on: push; jobs: build-test; steps: checkout -> install -> test -> build
Flaky tests, missing secrets, broken dependency, failed image build, wrong branch trigger, production deploy without approval, no rollback artifact.
Red pipeline, failed test report, build error, deployment timeout, health check failure, increased 5xx errors after release.
CI/CD can reduce lead time and improve deployment frequency. Weak CI/CD increases failed changes and slows recovery.
Revert commit, redeploy previous artifact, restore previous container image tag, pause pipeline, check deployment logs, verify staging before retry.
Protect CI secrets. Use environment-specific variables. Require review before production deploy. Scan dependencies and container images.
A big company expects branch protection, required checks, artifact versioning, approval gates, audit logs, and clear rollback steps.
Create a simple CI workflow that runs tests on every push and blocks deployment when tests fail.
What is the difference between CI, continuous delivery, and continuous deployment? Why should production deployment be controlled?
Putting deployment scripts only on one engineer's laptop, skipping tests to go faster, using latest tag blindly, storing secrets in repository.
Every repeated delivery process should become a pipeline. This principle applies to software, infrastructure, content publishing, and AI automation.