CI pipelines
Builds and tests on every pull request, with caching and parallel jobs so feedback arrives while the change is fresh.
DevOps & CI/CD
Deploys that happen often and go wrong rarely.
We build and run the pipelines that take code from a pull request to production. Every merge is built, tested and scanned the same way, and every deploy can be rolled back in one step.
The problem
Why shipping feels risky.
01
Slow, flaky pipelines
Builds take too long and fail at random, so engineers rerun them until they pass and stop trusting the results.
02
Manual deploys
Releases depend on a checklist and one person who knows the steps. Friday deploys are banned for good reason.
03
Security checked at the end
Dependency and container scanning happens just before release, if at all, when fixing anything is most expensive.
04
No easy way back
When a deploy goes wrong, rolling back takes longer than fixing forward, so incidents run longer than they should.
What we deliver
A delivery pipeline you can trust.
We build pipelines that are fast, consistent across teams and maintained like any other product.
Continuous delivery and GitOps
Deploys driven from Git, so what runs in each environment matches what is in the repository.
Security in the pipeline
Dependency, container and secret scanning built into every build, with clear rules on what blocks a release.
Preview environments
A temporary environment for each pull request, so reviewers and product owners can see the change before it merges.
Rollbacks and safe deploys
One-step rollbacks, health checks and progressive rollout so a bad change affects as few users as possible.
Pipeline operations
Runner capacity, build cost, flaky test tracking and upgrades handled as routine work.
How we deliver
From first build review to steady delivery.
We measure how you ship today, then improve one pipeline at a time.
Always included
- A named service manager and a clear escalation matrix
- A monthly service review with SLA reporting
- Runbooks and documentation that you own
- Access through your SSO with audit trails, and an NDA and DPA as standard
Typical tools
01
Weeks 1 to 2
Assess
We review how code moves from commit to production.
- Pipeline, branching and deploy process review
- Build times, failure rates and manual steps measured
- Baseline for deploy frequency and recovery time
02
Weeks 2 to 6
Transition
We take over pipeline operations and fix the worst pain first.
- Runbooks for builds, deploys and rollbacks
- Ownership of runners and pipeline tooling
- Escalation path for blocked releases agreed
03
Months 2 to 3
Stabilise
Pipelines become consistent and trustworthy.
- Flaky tests tracked and fixed or quarantined
- Security scanning added to every build
- One-step rollback for every service
04
Ongoing
Optimise
We keep making delivery faster and safer.
- Shared pipeline templates across teams
- Preview environments and progressive delivery
- Monthly review of delivery metrics
Where we apply it
Industries we know well.
FAQ
Questions we hear a lot.
Do we need to change our CI tool?
Usually not. We work with GitHub Actions, GitLab CI, Jenkins, Azure DevOps and others. We only suggest a change when the current tool is holding you back, and we explain the trade-offs first.
How do you measure whether DevOps is improving?
We track deploy frequency, lead time for changes, change failure rate and time to restore service, using data from your own tools. These are reported in the monthly service review.
Is security scanning part of the service?
Yes. Dependency, container and secret scanning are built into the pipelines we run, with rules agreed with you on what blocks a release and what raises a ticket.
Which engagement model suits DevOps?
Fully managed works when you want us to own pipelines and delivery tooling end to end. Co-managed, the most common choice, puts our engineers alongside yours while you keep ownership. On-demand pods suit a defined project, such as moving to GitOps or rebuilding a slow pipeline, billed per sprint.
Should we build an in-house DevOps team instead?
It depends on your size and how much platform work you have. Many companies start with a managed or co-managed setup and build an internal team over time, with our runbooks and documentation as the starting point.
Other managed services
Run the rest with us too.
Cloud Management & FinOps
Day-to-day running of AWS, Azure and GCP, with cost kept under steady watch.
Infrastructure & Platform Engineering
Infrastructure as code, Kubernetes platforms and golden paths for product teams.
Release Management
Release calendars, change approvals, feature flags and canary rollouts.
QA & Test Automation
Test strategy, automated regression, performance and API testing.
SRE, Monitoring & 24x7 Support
Observability, on-call and incident response around the clock.
Digital Transformation & Modernisation
Cloud migration, monoliths to services and manual processes to digital workflows.
Application & Data Platform Support
L1 to L3 support for business apps, data pipelines and ML models.
Our services
AI strategy, GenAI and agents, data platforms, analytics, MLOps and transformation.
Talk to a founder about DevOps.
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.