Eight services, from moving to the cloud to keeping the bill in check.
Licences, set-up and support for the tools your team uses every day.
Licensing
Paying for seats nobody uses?Send us your licence list. We match plans to how each team works and quote what you need.Request a quoteThe same cloud problems, shaped by how your business runs.
Articles, client stories, cost calculators and live sessions from our engineers.
Partner Ecosystem
Credentials we hold today, from cloud platforms to the laptops on your desk.
All partnersYour developers aren’t the bottleneck. The time between a merged pull request and a customer using the feature is. We build automated, tested and reversible pipelines, with environments defined in code, so your team can ship every day with confidence.
An example, drawn by us. Your assessment shows where your releases slow down.
The reality
The same six problems slow most teams down. Open a card to see what we do about each one.
Every release is a checklist, a late night and a person who can’t take leave.
We turn the checklist into a pipeline that builds, tests and deploys the same way every time.
Features wait weeks for a release window, so changes pile up and each release gets riskier.
Small, frequent releases through CI/CD, so each change is easy to test and easy to undo.
“It worked on staging” is said every week, because no two environments match.
Every environment is defined in code with Terraform or native templates, so they stay identical.
Engineers spend hours creating servers, users and environments by hand.
We automate the repetitive work and give teams self-service environments.
When something breaks, nobody can see where, and recovery takes hours.
Logs, metrics and traces in one place, with alerts and a one-step rollback.
Vulnerabilities and leaked secrets are found at audit time, or by someone else.
Code, dependency and secret scanning on every commit, with policy checks before anything deploys.
Why automate
Here’s what changes when releases, environments and checks are automated.
Automated pipelines build, test and deploy every change, with approvals where you need them and a rollback ready if something goes wrong.
Versioned, reviewed and repeatable environments. No more one-off servers.
Observability and automated rollback mean problems are found and reversed quickly.
Scanning and policy checks run on every commit, not once a year.
Teams spin up environments themselves, within guardrails.
Pipelines, code and runbooks are handed over, with training, so you’re not tied to us.
A DevOps assessment measures your delivery today and shows where automation pays back first.
Why DevOps projects stall
These are the reasons DevOps projects stall elsewhere, and what we do to avoid them.
We measure your delivery first, then pick tools that fix what’s actually slow.
We automate one service and one pipeline at a time, delivering something useful at every step.
Tests are made reliable and fast before they’re allowed to block a release.
Every pipeline has an owner, documentation and alerts when it fails.
Scanning and policy checks are part of the first pipeline we build.
Your engineers build alongside ours, so they can run and change it after we leave.
Every change is reversible. Pipelines deploy with a rollback step, and infrastructure changes are reviewed before they apply.
Book a DevOps assessmentHow we work
The same method on AWS, Azure and Google Cloud. We start from your current delivery numbers and improve them one step at a time.
We measure your delivery with the four DORA metrics and map where changes wait.
An hour with your engineering lead, and read-only access.
Nothing changes on your side. You keep the report either way.
We design the target: how code moves, how environments are built and where the guardrails go.
Agree the design and the order of work.
Nothing is built until you’ve agreed the plan.
We codify infrastructure and deployments, one service at a time.
Review changes and pair with our engineers.
The old way keeps working until each new pipeline is signed off.
With the basics in place, we make releases smaller, safer and self-service.
Decide how much approval each environment needs.
Canary and blue/green releases limit the impact of a bad change.
We make it visible, secure and yours.
Name who owns the pipelines on your side.
Everything is documented, so your team can run it without us.
What we cover
Six areas of DevOps on AWS, Microsoft Azure and Google Cloud. Pick an area to see what’s included and the tools we use.
Build, test and deploy on every merge. We build pipelines in the tools your team already uses, or help you choose them.
Environments you can rebuild from Git. Infrastructure that’s versioned, reviewed and repeatable, so environments never drift apart.
Apps packaged once, run anywhere. We containerise apps and run them on managed Kubernetes or simpler container services where they fit.
See what’s happening, and why. Logs, metrics and traces in one place, with alerts that reach the right person.
Security checks on every commit. Security checks run in the pipeline, so problems are fixed while the code is fresh.
Cost visible in every environment. Cost is built into the platform, so teams see what they spend and idle environments switch themselves off.
We pick tools for your setup and build on the ones your team already uses.
Proof
Stories from clients who agreed to be named. Every detail is from the original case study.
Managed hosting, limited control→A production-ready AWS environment
A new platform to build→CloudFormation in the client’s own account
Manual quotations→Serverless, built with CloudFormation
Full stories are on our Resources page.
AWS Advanced Tier Services PartnerAlso: AWS Partner with SMB Competency
Microsoft Solutions Partner for Cloud and AI PlatformsAlso: Infrastructure (Azure)
Google Cloud Partner
Why DevOps TechLab
One team for pipelines, infrastructure, containers and security, on all three clouds.
Where this fits
Automated delivery sits between a well-run cloud and a secure, cost-aware one.
Day-to-day running by a named team, so your cloud is stable first.
Make every release a small, routine, low-risk event.
This page
Guardrails and audit readiness built on top of your pipelines.
FAQ
Straight answers on tools, risk, Kubernetes, security and how we work with your team. If yours isn’t here, ask us.
With a DevOps assessment: we measure your deployment frequency, lead time, change failure rate and recovery time, map where changes wait, and give you a ranked plan.
It depends on how many services and environments you have. The first pipeline usually comes early, and we add the rest one service at a time so you see value along the way.
A little, for the better: smaller changes, reviewed in pull requests and deployed by the pipeline. We agree the changes with your team and roll them out gradually.
Whatever fits your team: GitHub Actions, GitLab CI, Jenkins, Azure DevOps or the clouds’ own tools such as AWS CodePipeline and Google Cloud Build. If you already have one, we usually build on it.
Not always. For many apps, simpler container services such as Amazon ECS, Azure Container Apps or Cloud Run are cheaper and easier. We’ll recommend Kubernetes only where it pays off.
Yes. We import hand-built infrastructure into Terraform or native templates, then manage every change through code.
Yes. One team covers all three, using each cloud’s native services alongside cross-cloud tools like Terraform and GitHub Actions.
It shouldn’t. The old process keeps working until each new pipeline is tested and signed off, and every pipeline deploys with a rollback step.
Code, dependency, secret and image scanning run on every commit, and policy checks run before infrastructure changes apply. Secrets live in a secrets manager, not in Git.
Yes. Pipelines create a record of every change: who made it, who approved it and when it went live. That evidence helps with ISO 27001, SOC 2 and customer security reviews.
You do. Pipelines, code and runbooks live in your repositories and accounts, and we train your team to run them.
Yes. Some teams hand day-to-day running to our managed services, or add our engineers to their team through resource augmentation.
DevOps assessment
A DevOps engineer measures how you deliver today, finds the biggest delays and shows where automation pays back first. No obligation to work with us.
