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CLOUD AND DEVOPS

Environments that behave the same every time

Cloud accounts, infrastructure as code and a pipeline that puts the same build through the same gates on every release.

Review my deploy path

30 minutes with an engineer, no sales call

What this is

Infrastructure written down, not remembered

Every account, network, environment and permission exists as code in your repository, so a change is a reviewed commit rather than a console click somebody forgot to mention. The pipeline builds once, runs the tests, promotes the same artefact through staging into production, and keeps a rollback that has been exercised. Release day stops depending on who is awake.

This is for you if

  • A deploy works on one environment and fails on the next, and nobody can say what differs between them.
  • Only one person can release, and the steps live in their head or in a private note.
  • You have no rehearsed way back when a release goes wrong, so bad changes stay live while people debate.

This is not the right fit if you run one static site with no backend, no database and no scheduled work. Static hosting with a build on push already gives you most of this, and paying for a platform layer around it buys nothing.

Scope

What we build

Account and network layout

Separate accounts or projects per environment, private networking by default, and a documented rule for what may reach what.

Infrastructure as code baseline

The whole environment defined in code with state stored remotely, so anyone can review a change before it lands.

CI pipeline with gates

Build, typecheck, tests and checks run on every branch, and a merge is blocked until they pass.

Staging that mirrors production

The same definitions, the same versions and comparable data shape, so a passing staging run means something.

Deploy and rollback procedure

One command to release and one to return to the previous version, both written down and both rehearsed with your team.

Cost visibility

Tagging and a spend view by environment and service, so an unexpected bill has a cause you can point at.

How it goes

From manual releases to a repeatable path

  1. 01

    Environment audit

    One week

    We inventory what exists, how a change reaches production today, and where the differences between environments hide.

  2. 02

    Baseline in code

    Two to four weeks

    Accounts, networking and core services expressed as code, applied to a fresh environment to prove the definitions are complete.

  3. 03

    Pipeline and parity

    Two to three weeks

    Build and test gates, promotion between environments, secrets handling, and staging brought in line with production.

  4. 04

    Rollback rehearsal and handover

    One week

    We break a release on purpose, roll it back with your team watching, then hand over runbooks and access.

Artefacts

What you receive

Written record

Environment and network diagram

Release and rollback runbook

Secrets and access reference

Decision log with the trade offs we took

The code

Infrastructure definitions in your repository

Pipeline configuration with the gates enabled

Environment bootstrap scripts

Cost tagging conventions

Operations

Staging environment matching production

Rehearsed rollback with a recorded walkthrough

Spend view by environment

Handover session recording

Everything lives in accounts you own. We never hold sole access to your cloud account or repository.

Questions

Questions we get about cloud and DevOps

Next step

Bring your current release process, however messy

Book a technical assessment

30 minutes with an engineer, no sales call