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Deploys that are boring on purpose

Infrastructure, pipelines and observability set up so shipping is routine and rollback is one command.

What you get

  • Infrastructure as code
  • CI/CD pipelines with staged environments
  • Monitoring, logging and alerting
  • Secret management
  • Runbooks and rollback procedures

What changes

  • Anyone on the team can deploy, not just the person who set it up
  • An incident has a runbook instead of a group call
  • Infrastructure is reproducible from the repository
  • Cloud spend is attributable to something

When teams call us

  • Deploys done by hand from a laptop
  • Nobody certain what is running in production
  • A cloud bill growing faster than usage

Process

How the work runs

The same four phases whichever engagement model you pick, each ending in something you can read.

Discovery

A short paid engagement that turns the ambition into a scope somebody can build and estimate.

  • Written scope
  • Estimate with assumptions
  • Risk register

Design & architecture

Interface and data model settled before the first feature, because both are expensive to change afterwards.

  • Prototype
  • Data model
  • Decisions recorded

Build

Two-week iterations against a board you can see, with a deployed environment from week one rather than week twelve.

  • Fortnightly demo
  • Staging from week one
  • Your repository

Launch & handover

Release, monitoring, and documentation good enough that your own team can take it from here.

  • Runbooks
  • Alerts configured
  • Handover sessions
Questions

DevOps & Platform, specifically

The questions that come up on this work in particular.

Usually AWS, and often something smaller. For an early product a single instance with managed databases beats a Kubernetes cluster nobody on the team can debug at 2am.

Still have a question? Talk to the team

Not sure which service your project needs?

Most useful projects cross two or three of them. Describe the outcome and we will map it.