gitlab ci · pipelines · runners · gitops

GitLab CI/CD Consultant

I help engineering teams get more from GitLab CI — faster pipelines, reliable deployments, self-hosted runners, and GitOps delivery that actually works in production.

the problem

Common GitLab CI problems

Pipelines are slow

30–45 minute builds are killing developer velocity. Caching is broken or non-existent.

Pipelines are fragile

They break in unexpected ways and nobody wants to touch .gitlab-ci.yml for fear of breaking everything.

Runners are mismanaged

Shared runners are slow, self-managed runners are misconfigured, and scaling is manual.

Deployments are still manual

CI builds the artifact, but someone still SSHes in to deploy it. There's no true CD.

You've outgrown basic GitLab CI

DAG pipelines, child pipelines, and dynamic configs exist — but nobody knows where to start.

Self-hosted GitLab is a burden

Upgrades are skipped, backups are uncertain, and the ops burden sits with whoever set it up.

the output

What I deliver

  • Pipeline redesign — fast, reliable pipelines with proper caching, parallelism, and only what's needed
  • Self-hosted GitLab runner setup — Kubernetes executor, Docker executor, or shell runners
  • Autoscaling runner fleet on Kubernetes with the GitLab Operator or Helm chart
  • GitOps delivery — automated deployments via Flux or ArgoCD triggered from CI
  • Dynamic pipelines — rules, includes, child pipelines, and matrix builds
  • Review environments — per-branch ephemeral environments that deploy and tear down automatically
  • Pipeline security — secrets management, SAST, dependency scanning, and container scanning
  • Self-hosted GitLab hardening — HA setup, backup strategy, and upgrade planning

tooling

Tools I work with

I use self-hosted GitLab CI in production — Docker builds, Helm deployments, BIND9 zone validation, and Terraform plan/apply all run through GitLab CI in my own homelab.

GitLab CIGitLab RunnersKubernetes executorDocker executorFlux v2HelmDockerAWSPrometheusGrafana

engagement models

Typical engagements

Pipeline Audit

1–2 days

Review your existing .gitlab-ci.yml files. Written report with performance bottlenecks, reliability risks, and improvement recommendations.

Fixed scopefrom £950

Pipeline Redesign

1–2 weeks

Rewrite and optimise pipelines for one or more projects — caching, parallelism, DAG, and proper stage separation.

Time & materialsfrom £650 / day

Runner Fleet Setup

3–5 days

Self-hosted Kubernetes runners with autoscaling, custom Docker images, and cost-effective resource management.

Time & materialsfrom £650 / day

GitOps Delivery

1–2 weeks

End-to-end automated deployment from GitLab CI to Kubernetes via Flux v2 — including environment promotion and rollback.

Time & materialsfrom £650 / day

credibility

Why work with me

Enterprise GitLab

Managed large self-hosted GitLab at Waypoint Trading Solutions

Kubernetes runners

GitLab Kubernetes executor with autoscaling and custom images

14+ years

Cloud and infrastructure engineering

GitLab CI in production, every day

My homelab uses self-hosted GitLab with CI pipelines for Docker image builds, Helm chart deployments to k3s, BIND9 DNS zone file validation, and Terraform plan/apply with approval gates. Multi-project pipelines with triggers, not a toy project.

See the homelab architecture →

questions

Frequently asked questions

Do you work with GitHub Actions or Bitbucket Pipelines?

Yes, though my deepest expertise is in GitLab CI. I can design and optimise pipelines in GitHub Actions or Bitbucket, but GitLab is where I've spent the most time and have the most context.

We're on GitLab SaaS, not self-hosted. Can you still help?

Yes. Most pipeline work — caching, DAG, child pipelines, runner setup — is the same whether you're on SaaS or self-hosted. Runner management and administration differ, but pipeline design doesn't.

How long does a pipeline redesign typically take?

Usually 1–2 weeks for a focused scope covering 3–5 pipelines. Larger codebases with dozens of pipelines take longer, but we typically start with the highest-traffic pipelines first.

Can you help migrate from Jenkins to GitLab CI?

Yes. Jenkins-to-GitLab migrations are a common engagement. The approach is usually to run both in parallel, migrate pipelines incrementally, and decommission Jenkins once confidence is high.

Do you manage self-hosted GitLab instances ongoing?

For ongoing management I'd recommend setting up the infrastructure properly with a managed upgrade process and backup strategy, rather than relying on a consultant for day-to-day operations. I can design and hand over the operational runbooks.

get in touch

Ready to fix your CI/CD?

Whether it's slow pipelines, broken runners, or missing deployments — let's talk through what you're dealing with.