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Engineering

Deployments that are boring on purpose.

CI/CD, containerisation, environment separation and rollback. The goal is that shipping stops being a scheduled event and becomes something that happens several times a day without anybody's heart rate changing.

DevOps Engineering
The problem

If deploying is scary, everything else slows down around it.

A bad deployment process doesn't just cost you the deployment. It changes every decision upstream. Changes get batched because shipping is expensive, batches get larger, larger batches are riskier, riskier deploys make everyone more cautious, and caution produces bigger batches. It's a loop that tightens.

The symptoms are recognisable. Deploys happen on a particular day. One person has to be available. There's a document nobody has updated. Rollback is theoretical, something people believe is possible but nobody has done.

The fix is unglamorous and well understood: containerise so environments stop drifting, run checks automatically before anything reaches production, separate environments genuinely, and make rollback a single tested action rather than an improvised recovery under pressure.

None of this requires Kubernetes or a platform team. Proportionate setups get you reliable, reversible deploys without taking on years of operational complexity, and that's what most teams at this size actually need.

How it works

How it works, step by step.

01

Containerise

So the thing running in production is the thing that was tested, and environments stop drifting apart in ways nobody notices until they matter.

02

Automate the checks

Tests, linting and build verification running on every change, before anything reaches production.

03

Separate environments genuinely

Dev, staging and production that actually differ in data and access, not three names pointing at similar things.

04

Make rollback one action

And then perform it at least once, deliberately, so you know it works before you need it at 2am.

05

Move secrets out of documents

Into proper secret management, with rotation possible without a code change.

06

Document the pipeline

So it isn't knowledge locked in one person's head, which is the failure mode that outlasts every other one on this list.

What it isn't

Four things people assume this is.

Kubernetes for everyone

Most teams this size don't need it. Proportionate setups get reliable deploys without years of operational overhead.

A platform team

We build something a small team can operate, not something that requires dedicated headcount to keep running.

Replacing what works

If your pipeline is fine and just needs fixing in two places, that's what we'll do and what we'll charge for.

Untested rollback

A rollback path nobody has exercised is a guess. We run it before signing off.

What you get

Concretely, what's delivered.

  • Containerisation so environments stop drifting apart
  • CI/CD pipeline running tests and checks before production
  • Genuine environment separation, dev, staging, production
  • One-action rollback, tested at least once before handover
  • Secrets management out of shared documents and repositories
  • Build caching so the pipeline is fast enough that people use it
  • Deployment documentation so the process survives one person leaving
  • Monitoring on deploys, alerting when a release degrades something
DockerGitHub ActionsRailwayAWSVercelPostgres
Why we can say this

Why we can say this.

Our own products deploy this way across Railway, AWS and Vercel with Docker throughout. The pipelines are the reason we can ship small changes frequently instead of batching risk, and that's a capability we notice immediately when working in a codebase that lacks it.

Honest limits

What this won't do.

  • We won't build something that needs a platform team to operate. If the setup is more complex than your team can maintain, it fails after we leave.
  • This doesn't fix a codebase with no tests. We can automate running whatever exists, writing the test suite is separate work.
  • Some legacy systems genuinely resist containerisation, and we'd rather say that early than bill for discovering it slowly.
  • Faster deploys don't fix an unclear release process. If nobody knows who decides what ships, that's an organisational question first.
Questions

Straight answers.

We're a small team. Is this overkill?

Usually the opposite. Small teams feel a bad deployment process hardest because there's nobody to absorb it. The setup can be proportionate, you don't need Kubernetes to get reliable, reversible deploys.

Can you work with our existing pipeline?

Yes. Fixing what exists is often faster and less disruptive than replacing it, and we'll say which your situation calls for after looking rather than before.

What happens if a deploy goes wrong at 2am?

That's what rollback and alerting are for. We set up both, and we test the rollback, an untested recovery path is a guess, not a plan.

Do we need to change hosting?

Not usually. We work with what you're on unless there's a specific reason it can't support what you need.

How long does this take?

One to three weeks for a typical setup, depending on how many services and environments are involved.

What if we have no tests?

We can still containerise, separate environments and build the pipeline. It'll run whatever checks exist. Writing a test suite is separate work and we'd scope it honestly rather than bundling it invisibly.

Ubong Udoessien
Founder, Anqor Studios

Anqor is a small studio, so you deal with the person who builds it. If this isn't the right fit for your business, I'd rather say so on the first call than sell you something you don't need.

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How long does your deploy take, and who can do it?

If the answer is 'a while' and 'one person', that's a fixable problem and usually a fast one.