variables: DOCKER_REGISTRY: registry.gitlab.com APP_NAME: myapp job: script: - docker build -t $DOCKER_REGISTRY/$APP_NAME .
GitLab then shows a dashboard of deployments, and you can roll back from the UI. For secure cluster access, use the GitLab Agent instead of storing kubeconfig . automating devops with gitlab ci/cd pipelines read online
include: - template: Security/Secret-Detection.gitlab-ci.yml These security jobs run automatically, enforcing "shift-left" security. Environments Track deployments by defining environments: variables: DOCKER_REGISTRY: registry
DevOps emerged to bridge the gap between development and operations. Its core philosophy is — automating builds, tests, deployments, and monitoring. Among the many CI/CD tools available today (Jenkins, CircleCI, GitHub Actions), GitLab CI/CD has emerged as a powerful, integrated, and scalable solution. Why? Because GitLab isn't just a Git repository manager. It's a complete DevOps platform with CI/CD built directly into the same application that hosts your code. include: - template: Security/Secret-Detection
workflow: rules: - if: $CI_PIPELINE_SOURCE == "merge_request_event" - if: $CI_COMMIT_BRANCH && $CI_OPEN_MERGE_REQUESTS when: never - if: $CI_COMMIT_BRANCH Now each merge request runs a full pipeline, and GitLab blocks merging if tests fail. Modern applications often consist of multiple microservices. GitLab supports cross-project automation. Triggering a downstream pipeline In project A (frontend):
Introduction: The Shift from Manual to Automated DevOps In the early days of software development, deploying code was a manual, nerve-wracking affair. System administrators would SSH into servers, pull code from repositories, run build commands, and restart services. This process was error-prone, slow, and unscalable.