Automated Build Workflows
Comprehensive GitHub Actions or GitLab CI scripting that compiles your app and executes standard test suites automatically.
I configure a modern delivery pipeline that connects your repository (GitHub/GitLab) directly to your servers.
A basic GitHub Actions or GitLab CI pipeline (lint, test, build, deploy) can be set up in 24–48 hours. A more complex pipeline with Docker builds, environment-specific deployments, canary releases, Slack notifications, and manual approval gates typically takes 3–5 days.
A CI/CD pipeline is an automated workflow that takes code from a git commit to a production deployment. CI (Continuous Integration) runs tests and builds on every push. CD (Continuous Delivery or Deployment) automates the release process to staging and production environments, eliminating manual SSH deployments and human error.
I build pipelines with GitHub Actions, GitLab CI, and Jenkins. For deployment targets, I work with AWS CodeDeploy, ECS, Kubernetes (Helm), and server deployments over SSH with zero-downtime rollouts. All pipelines include secrets management via GitHub Secrets, AWS Secrets Manager, or Vault.
Every pipeline I build includes an automated rollback step triggered by health check failure. For Kubernetes deployments, rollback uses kubectl rollout undo. For EC2 deployments, blue-green switching reverts DNS. For Docker containers, the previous image tag is re-deployed within 60 seconds of a failed health check.
Related Services
Build the cloud environment your CI/CD pipeline deploys to — VPC, EC2, RDS, and IAM configured correctly from day one.
Docker & Kubernetes DeploymentDeploy containerised apps via your pipeline with Docker builds, image registry pushes, and Kubernetes rollouts.
Terraform Infrastructure as CodeProvision the servers, databases, and networking your pipeline targets — all version-controlled and repeatable.
Monitoring & Alerting SetupKnow when a pipeline-triggered deployment breaks something before your users do with Prometheus and Grafana.