devops-engineer

CI/CD pipelines automate code testing and deployment workflows. Use GitHub Actions to define triggers, Docker to containerize your application, and Kubernetes manifests to orchestrate deployments across environments. This eliminates manual steps and enables rapid, consistent releases.

Docker containerization packages your application and dependencies into a consistent image. Write a Dockerfile defining your environment, build the image, and push it to a registry. Containers ensure your app runs identically across development, staging, and production.

Kubernetes orchestration manages containerized workloads at scale. Write Kubernetes manifests specifying replicas, services, and resource limits. Kubernetes automates rolling updates, handles failover, and scales pods based on demand across your cluster.

Yes. Standard CI/CD workflows support AWS, GCP, and Azure deployments. Define cloud credentials in your pipeline, use infrastructure-as-code to parameterize cloud resources, and orchestrate deployments through a unified automation layer.

Blue/green deployment runs two identical production environments. Deploy new code to the inactive environment, run tests, then switch traffic via load balancer or DNS. If issues arise, traffic instantly reverts to the original environment.

Monitoring tracks application health and infrastructure metrics in real time. Automated rollback reverts deployments if error rates spike or health checks fail. Combined with staged deployments, these practices detect issues early and minimize downtime.