Pipeline design
One clear structure — build, test, security checks and deploy — that every service follows.
CI/CD pipelines that make releases boring
A good pipeline turns a release from an event into a non-event. I design and speed up CI/CD in GitLab CI and GitHub Actions — with automated checks, zero-downtime deployments and a rollback path you can trust.
When to call me
Sounds familiar?
These are the situations where teams usually bring me in.
- Pipelines are so slow that developers batch changes to avoid waiting.
- Nobody deploys on Fridays — or at all without a senior engineer around.
- Rollbacks are manual and stressful.
- Every service has its own pipeline, written in its own way.
- Releases cause short outages that users notice.
What I deliver
What you get
Speed-ups
Caching, parallel jobs and smarter test runs to cut the time developers spend waiting.
Zero-downtime deployments
Rolling, blue-green or canary releases, depending on what each service needs.
Automated rollbacks
Health checks and a tested rollback path, so a bad release stays a small event.
Preview environments
A temporary environment for every merge request, so changes are tested before they land.
Secrets & supply chain
Credentials kept out of repositories, and images built reproducibly and scanned before deploy.
How it works
From first call to handover
- 01
Measure
Time the current pipelines and releases, and find where the minutes and the risk go.
- 02
Standardize
Build a shared pipeline template that fits most of your services.
- 03
Migrate
Move services onto it one by one, without freezing development.
- 04
Hand over
Document how to extend the pipelines, so your team doesn’t depend on me.
Tools
- GitLab CI
- GitHub Actions
- Docker
- Helm
- GitOps
- Kubernetes
- Terraform
FAQ
Common questions
- GitLab CI or GitHub Actions?
- I work with both. The right choice usually follows where your code already lives — the pipeline design matters more than the tool.
- Can we have zero-downtime deployments without Kubernetes?
- Yes — with load balancers and rolling or blue-green releases on regular VMs. Kubernetes makes it easier, but it isn’t a requirement.
- How do you make pipelines faster?
- By measuring first. Then: caching dependencies and Docker layers, running jobs in parallel, splitting slow test suites and not rebuilding what hasn’t changed.
Related services
Platform Engineering
An internal developer platform with golden paths: self-service environments, standard pipelines and sane defaults, so every team ships the same way.
Kubernetes
Clusters on Google Cloud (GKE) or bare metal — designed, migrated, upgraded and hardened. Secure by default, boring to operate.
Observability & Reliability
Metrics, logs and alerts with Prometheus and Grafana: alerting that wakes people up only when it matters, and a plan for when things break.
Contact
Let’s talk about your infrastructure
Tell me what you’re building and where it hurts — I’ll get back to you with next steps.