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Releases that stop being events

Reproducible infrastructure, automated deploys with health gates, monitoring that pages the right person, and a rollback path that has actually been tested. The unglamorous work that decides whether a good system stays up.

What you end up with

  • Environments rebuilt from code rather than remembered by one person
  • Automated deploys with health gates and tested rollback
  • Monitoring and alerting tied to user-visible symptoms
  • Cloud spend that is deliberate rather than accidental
What this covers

Cloud, DevOps & production engineering

We build the boring, dependable parts properly: reproducible environments, automated deployment, observability and rollback paths — so releases stop being events and become routine.

01

Cloud architecture & migration

AWS, GCP and Azure designs sized to measured load, with migration sequenced so the existing system keeps serving throughout.

02

Infrastructure as code

Terraform-managed environments that can be destroyed and rebuilt identically, removing the single machine nobody dares touch.

03

CI/CD & release automation

Pipelines with automated tests, health gates, canary rollout and rollback — so shipping on a Friday stops being a joke.

04

Observability & SRE

Logging, metrics, tracing and alerting built around user-visible symptoms, with runbooks for the alerts that fire.

05

Cost optimisation

Autoscaling tuned to real traffic, right-sizing and spend attribution by service, so the bill is explainable.

06

Security hardening

Least-privilege access, secret management, dependency scanning and network boundaries reviewed against how the system is actually used.

Tools we reach forChosen per problem, not per trend

  • Terraform
  • Kubernetes
  • Docker
  • AWS
  • GCP
  • Azure
  • GitHub Actions
  • Grafana
Cloud & DevOps: how it works

Scoped for you, not picked from a price list

Every project is different, so we do not sell fixed packages. We learn what you need first, then propose the scope, timeline and price that fit, in writing, before any work starts.

From first message

to a written proposal

  1. 1You tell us what you need, by email, a short call or WhatsApp. An engineer reads it, not a sales team.
  2. 2We reply with clarifying questions and an honest read on fit. We do not take on every project, and we will say so if we are not the right team.
  3. 3If it looks like a fit, we talk through scope, requirements, deliverables, timing and budget expectations. Larger or uncertain projects may start with a scoped discovery phase.
  4. 4Where it makes sense, we send a written proposal with scope, timeline, price and terms. You decide whether to go ahead.

What shapes the scope and cost

  • The current state of your infrastructure and deployments
  • Which cloud providers and environments are involved
  • Uptime, security and compliance requirements
  • How much to automate: builds, tests, deployments, rollbacks and monitoring
  • Whether your team runs it afterwards, and the handover they need

Useful to have ready

  • Where the system runs today and how it is deployed
  • Recent incidents, slow releases or cost concerns
  • Any compliance or audit requirements
  • Who on your team will own the infrastructure afterwards

None of this is required to get in touch. If you are not sure yet, that is what the first conversation is for.

Related work

Where we have done this

Questions we get asked

Before you get in touch

Something not covered here? Ask an engineer directly.

Can you take over an environment somebody else built?

Yes. That normally starts with an infrastructure audit — what exists, what is reproducible, what is a single point of failure — before we change anything.

Do you offer ongoing support after launch?

Yes, on retained engagements with agreed response times. We can also hand over entirely to your team, which is what we build towards by default.

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