Deploying on a Friday should not be a personality trait.
You can tell how good a team's DevOps is by asking two questions: how long from merge to production, and what happens when the answer is wrong. Where deploys are manual and rollback is a conversation, teams ship less often, which makes each release bigger, which makes each release riskier. The loop is fixable, and fixing it is mostly unglamorous plumbing.
This is for you if
- Deploys happen at night because that is when breaking things is least bad
- Staging does not match production, so staging tells you very little
- Your first sign of an outage is a customer email
- Only one person can release, and they are on holiday next week
It isn't, if
- You want a Kubernetes cluster because it is what serious companies use. Most businesses do not need one, and the ones that do already know why.
- You want a one-off audit with no intention of changing anything. We will write it, but a report on a pipeline nobody changes is shelf decoration.
- There are no tests and no appetite for any. Automating a release you cannot verify just breaks things faster.
What actually happens.
- 01
Measure the current loop
Time from merge to production, deploy frequency, change failure rate, and time to restore. Four numbers, taken before anything changes, so improvement is demonstrable rather than asserted.
- 02
Pipeline and environments
Automated tests, a preview environment per pull request, and a one-command rollback. Preview environments do more for review quality than any process change, because people comment on what they can click.
- 03
Infrastructure as code
Every environment defined in Terraform, so it can be rebuilt rather than remembered. This is also the point at which the difference between staging and production stops being a mystery.
- 04
Observability and on-call
Metrics, logs and traces wired to alerts tuned to page a person only for things a person must act on. Then runbooks, so the person who is paged is not necessarily the person who built it.
What you get
- CI/CD with automated tests, preview environments, and a one-command rollback
- Infrastructure as code, so an environment can be rebuilt rather than remembered
- Monitoring, logging and alerting that pages a person for real problems only
- Runbooks and on-call handover your own team can take over
Built with
- GitHub Actions
- Terraform
- Kubernetes
- Grafana
- AWS
The outcome
Releases that are boring, and outages you hear about before your customers do.
Pipelines, environments and observability, so shipping on a Friday stops being a brave decision.
Get a free consultationScope and a fixed price before anything is committed. No obligation to proceed.
No dark periods. No surprise invoices.
A structured engagement from the first call to launch, so you always know what is happening and what it costs.
Week 1 · Discovery
Scope & fixed price
Then, every week after
A working demo.
The ones people actually ask.
Do we need Kubernetes?
Probably not. Most teams we work with are better served by a managed platform such as Cloud Run, ECS or Vercel, and get the reliability without the operating cost. We recommend Kubernetes when the workload genuinely calls for it, which is less often than the job ads suggest.
Can you work with our existing cloud setup?
Yes, and that is the normal case. Rebuilding a working estate to match our preferences would be spending your budget on our comfort.
Is this a project or a retainer?
Both exist. The initial pipeline and infrastructure work is a project with an end; keeping it healthy and being on call is a monthly arrangement. Plenty of clients take the first and handle the second themselves.
What about our on-call rotation?
We can hold it, share it, or hand it to you with the runbooks to make that reasonable. What we will not do is set up alerting and leave nobody responsible for answering it.
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What is the most expensive thing your team still does by hand?
Tell us, and we'll tell you honestly whether software can fix it, and roughly what it would cost. No pitch deck.