CI/CD Pipeline Setup & Automation Consulting

Ship faster and safer with a deployment pipeline built for your stack - not a generic template.

Ship faster and safer with a deployment pipeline built for your stack - not a generic template.
Slow, manual, or fragile deployments are among the most expensive engineering problems a growing team can face. Every hour used on manual releases, broken staging environments, or untested deployments is time not spent building product.
I design and implement end-to-end CI/CD pipelines that are fast, observable, and built to scale - from a simple two-environment setup to multi-region blue/green deployments with automated rollbacks.
What You Get
  • Pipeline design for your specific stack (monorepo, microservices, or monolith)
  • Implementation in GitHub Actions, GitLab CI, or CircleCI
  • Docker build optimization with layer caching and multi-stage builds
  • Environment promotion strategy: dev → staging → production with gating
  • Secrets management integration (AWS Secrets Manager, SSM Parameter Store)
  • Deployment strategies: rolling, blue/green, or canary via ECS, EKS, or Lambda
  • Automated rollback triggers on deployment failure or health check breach
  • Runbook and team handover documentation
How It Works
  • Discovery (1 day) - Review current deployment process, stack, branching strategy, and team workflows
  • Design (1-2 days) - Produce pipeline architecture diagram and agree on tooling choices
  • Implementation (5-10 days) - Build, test, and validate all pipeline stages in your environment
  • Handover (1 day) - Walk your team through the new pipeline, edge cases, and how to extend it

Frequently Asked Questions

GitHub Actions, GitLab CI, CircleCI, ArgoCD, AWS CodePipeline/CodeBuild, and Terraform / CDK for infrastructure provisioning. I recommend based on your existing stack - not personal preference.

Yes. Pipeline optimisation and reliability work is a common engagement. I audit your existing setup and identify bottlenecks

Yes - including Helm chart management, ArgoCD GitOps setup, and EKS-specific deployment strategies.

Typically 2–3 weeks depending on stack complexity and number of environments.

Ready to get started?

Ship faster and safer with a deployment pipeline built for your stack - not a generic template.

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