Ship more often, break things less
Deployment frequency and change failure rate are the two numbers that predict whether your engineering organisation is healthy. We move both, and we show you the graph.
Ship more often, break things less
Deployment frequency and change failure rate predict whether an engineering organisation is healthy. We move both, and we show you the graph.
CI/CD Pipelines
Tests run, artefacts build, and deploys happen without a human copying anything anywhere.
- GitHub Actions, GitLab, Jenkins, Azure DevOps
- Build caching and parallelisation
- Artefact registries and promotion
- Deployment approvals that are not theatre
Infrastructure as Code
Every environment reproducible from a repo. Staging that actually resembles production.
- Terraform and Pulumi
- Reusable environment modules
- Ephemeral preview environments
- Drift detection
Observability
Structured logs, traces, and alerts that mean something — so you find out about failures before your customers tell you.
- Distributed tracing
- SLOs and error budgets
- Alerts tuned to reduce pager fatigue
- Dashboards on-call actually uses
Progressive Delivery
Canaries and feature flags, so a bad deploy is a shrug rather than an incident.
- Canary and blue-green deploys
- Feature flags and kill switches
- Automated rollback on SLO breach
- Dark launches
Platform Engineering
Paved roads so product teams ship without filing a ticket and waiting three days.
- Internal developer platforms
- Golden path templates
- Self-service environments
- Service catalogues
Incident & Reliability
A process that actually changes the system, rather than producing a document nobody reads.
- On-call rotation design
- Blameless postmortems
- Runbook automation
- Chaos and game days
Why choose our DevOps team
Arguments about process end quickly when there is a graph.
We instrument the four numbers
Deployment frequency, lead time, change failure rate, time to restore. Not because metrics are magic, but because they turn opinion into evidence.
We fix the pipeline before the tool
A well-maintained Jenkins beats a badly-adopted anything-else. We are not here to sell you a migration you do not need.
Culture is on you as much as us
Deployment frequency usually moves in the first month. The rest takes longer, and we will be honest with you about which part is ours to fix.
How we work
Measure, fix the worst bottleneck, repeat.
Baseline
Measure the four numbers as they are today. No judgement.
Unblock
Fix the single biggest bottleneck to shipping.
Automate
Pipelines, environments, and rollback, all in code.
Embed
Hand it to your team with the runbooks to keep it.
The four numbers
We instrument deployment frequency, lead time for change, change failure rate, and time to restore. Not because metrics are magic, but because arguments about process end quickly when there is a graph.
What we build
- CI/CD pipelines that run tests, build artefacts, and deploy without a human copying anything
- Infrastructure as code — every environment reproducible from a repository
- Observability: structured logs, traces, and alerts that mean something
- Progressive delivery: canaries and feature flags so a bad deploy is a shrug, not an incident
- Incident process and blameless postmortems that actually change the system
Questions we get asked
We already have Jenkins. Do we need to replace it?
Not necessarily. A well-maintained Jenkins beats a badly-adopted anything-else. We fix the pipeline before we argue about the tool.
How long before we see a difference?
Deployment frequency usually moves within the first month. Culture takes longer, and that part is on you as much as us.