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DevOps & Platform Engineering

Ship weekly without hiring a platform team

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  • Deploys measured in minutes, not evenings
  • Every environment reproducible from code
  • Rollback that has actually been tested
10x
Deploy frequency increase

Typical for teams moving off manual releases

< 15 min
Commit to production

Automated pipeline including tests and checks

< 5 min
Rollback time

Rehearsed, not theoretical

The symptom you probably recognise

Deploys happen on Thursday evenings because that is when someone senior is available to watch. Staging drifted from production eighteen months ago. The person who set up the build server has left. Nobody is quite sure which of the running instances matter.

None of that is unusual and none of it requires a transformation programme. It requires someone to own it. We have helped US, UK, Canadian and Australian teams move from Thursday-evening deploys to daily shipping in production, with staging reliably matching production and rollbacks rehearsed monthly.

See our DevOps glossary entry for the full definition and how it differs from SRE and NoOps.

What we actually change

Before

  • Releases are events that require a person watching
  • Environments differ in ways nobody has documented
  • Infrastructure changes happen in a cloud console
  • Rollback is a plan that has never been executed
  • Cloud spend grows and nobody owns the increase

After

  • Deploys are routine, automated and reversible
  • Every environment reproducible from the same code
  • Infrastructure changes go through pull request review
  • Rollback rehearsed monthly and measured in minutes
  • Spend attributed per team with alerts on anomalies

Boring on purpose

We do not introduce a new tool for its own sake. The stack is deliberately conventional — Terraform, containers, a managed control plane, GitHub Actions or whatever CI you already pay for — because the goal is infrastructure your team can still operate in two years when the people who built it have moved on.

The interesting engineering goes into making the pipeline fast and the failure modes obvious. A pipeline that takes forty minutes gets bypassed. A pipeline that fails with an unreadable error gets ignored. Both are worse than no pipeline, because they create the appearance of control.

Getting started

If you are ready to move your team from manual deploys to automated CI/CD, start with our DevOps checklist — it walks you through what to build, in what order, with concrete milestones.

If your staging environment has drifted and you need to understand why, read about staging drift and how Infrastructure as Code stops it from happening.

Where this leads

Most clients start here and move to NoOps once the platform is stable and they want the on-call handled too. Some take it in-house, which is a perfectly good outcome — the whole thing is in your repository.

How it runs

What the engagement looks like

Phases, not a proposal. Each one has an output you can see.

  1. 1

    Audit what you have

    Week 1

    Current pipelines, environments, cloud spend and the manual steps everyone has stopped noticing. We measure deploy frequency and lead time first so improvement is provable.

  2. 2

    Codify the infrastructure

    Weeks 2-4

    Terraform for everything, imported from existing resources where they are already running. No big-bang rebuild; we bring the estate under version control incrementally.

  3. 3

    Build the pipeline

    Weeks 3-5

    Test, lint, dependency and container scanning, build, deploy, smoke test. Fast enough that developers do not learn to route around it.

  4. 4

    Make rollback boring

    Week 5

    Progressive rollout with automated health checks and an actual rehearsed rollback. An untested rollback plan is a story, not a control.

  5. 5

    Run it or hand it over

    Ongoing

    Managed retainer, or transfer with documentation and pairing. Either way your team can read and change everything we built.

FAQ

Questions we get asked

Do we need Kubernetes?

Probably not, and we will say so. A managed container service or serverless platform is simpler, cheaper and adequate for most workloads. Kubernetes earns its operational cost at real scale, with multiple teams, or with genuinely complex scheduling needs. Choosing it by default is one of the most expensive mistakes in this field.

Can you work with our existing pipelines?

Usually the right call. Rewriting working pipelines is rarely the highest-return action — fixing the slow stage, the flaky test and the manual approval that nobody owns generally is.

What about our cloud bill?

Reviewed as part of the work. Right-sizing, spot and reserved capacity, storage lifecycle policies, and killing the environments nobody has used since March. Savings of 25-40% are common on estates that have never had a dedicated owner.

Who holds the credentials?

You do. We work in your cloud accounts under least-privilege roles you grant and can revoke, with all access logged. We do not create a dependency where the infrastructure only works while we hold the keys.

Talk to someone who does devops & platform

Thirty minutes with an engineer who has delivered this, not an account manager. You will get a straight answer on feasibility, rough cost and where it would fail.

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