CI/CD pipelines that make releasing boring.
Every merge builds, tests, scans and deploys the same way, with approvals where you need them and a one click rollback when something slips through. Releases stop being events.
Shipping should not need a ceremony.
Manual deploys
Someone runs a script or clicks through the cloud console, and the steps live in their head.
Slow, flaky builds
Pipelines take half an hour, fail randomly and get rerun until they pass.
No safe rollback
When a release breaks production, going back means a rushed revert and another full build.
Vulnerabilities ship unseen
Nobody scans images or dependencies, so known issues reach production quietly.
What the engagement covers.
- 01
Pipeline design
Build, test, scan and deploy stages with caching and parallel jobs so feedback comes in minutes.
- 02
Security scanning
Image, dependency and IaC scanning with Trivy and friends, failing builds on real issues only.
- 03
Environment promotion
Dev to staging to prod with branch rules, environment scoped secrets and approvals.
- 04
Safe deploy strategies
Rolling, blue/green or canary deploys with health checks and automatic rollback, on Kubernetes or on ECS with CodeDeploy.
- 05
Artifact management
Immutable, SHA tagged images in ACR or ECR with retention policies that keep storage in check.
- 06
Pipeline as code
Reusable workflow templates so every new service gets the same pipeline in minutes.
What you get at the end
- Pipelines as code for each service, stored in your repositories
- Image, dependency and IaC scanning with sensible thresholds
- Dev, staging and prod promotion with approvals
- Health checked deploys with a documented rollback path
- Reusable templates for new services
- A short guide for developers on how releases work now
Tools I use
- GitHub Actions
- Azure DevOps
- GitLab CI
- Jenkins
- ArgoCD
- Docker
- Trivy
- Helm
- ACR
- ECR
- AWS CodePipeline
- Dependabot
CI/CD questions.
- Do we have to switch CI tools?
- No. I work with the tool you already use. If it is genuinely holding you back I will say so, with the trade offs.
- Can you speed up our existing pipelines?
- Usually. Dependency caching, parallel jobs, smaller images and splitting slow test suites are where most of the time goes, and each change is measured before and after.
- How is the price decided?
- After a short call I send a written scope and a fixed quote. No hourly surprises, and nothing starts until you have agreed the scope.
- What about database migrations?
- They get their own step with a clear order and rollback plan, so schema changes do not break running versions.
proof and reading
Let us make your releases boring.
Walk me through how a change reaches production today, and where it hurts.