IT Consulting

DevOps & Platform Engineering

CI/CD, infrastructure as code and observability so teams ship safely and often.

Slow, risky releases are usually a platform problem, not a people problem. We build the pipelines, environments and monitoring that let a team deploy several times a day with confidence, and we write the infrastructure as code so it can be reviewed and rebuilt.

The work suits both product teams that have outgrown manual deployment and organisations inheriting a platform nobody fully understands.

How we're different

We choose the simplest platform that meets the need, which is often not Kubernetes.
Security scanning and secrets management are part of the pipeline from the first commit.
We coach your engineers so the platform doesn't depend on us.

Who this is for

A bank or insurer whose release process needs weeks of approvals and a weekend of downtime.
A product organisation inside a large group running several teams on inconsistent pipelines.
A company that inherited a platform from a departed contractor and no one understands it.

Signals you need this now

Releases are infrequent, manual and feared.
Environments differ from each other and bugs appear only in production.
Nobody can rebuild the infrastructure from code.
Incidents are diagnosed by guesswork because logs, metrics and traces are not connected.

Scope of work

What is included.

01
Delivery pipeline
CI/CD with automated tests, security scanning and staged deployments.
02
Infrastructure as code
Terraform or Pulumi modules for every environment, with review and drift detection.
03
Containers and orchestration
Docker images, Kubernetes or managed alternatives sized to the actual need.
04
Observability
Logs, metrics, traces and alerts with dashboards teams actually use.
05
Runbooks and on-call
Documented procedures for incidents, releases and rollbacks.

Method

Four steps, no surprises.

01
Review
Current pipelines, environments and pain points assessed with the team.
02
Design
Target platform, pipeline stages and observability plan.
03
Build
Pipelines, IaC and monitoring delivered incrementally alongside live work.
04
Enable
Documentation, training and a hand-over that leaves the team confident.

How the engagement runs

From first meeting to steady state.

01Week 1
Review
Current pipelines, environments and pain points assessed with the engineering teams.
02Weeks 2 to 3
Design
Target platform, pipeline stages, security controls and observability plan agreed.
03Weeks 4 to 10
Build
Pipelines, infrastructure as code and monitoring delivered incrementally alongside live work.
04Weeks 11 to 12
Enable
Documentation, training and hand-over so your engineers own the platform.

What we measure

Deployment frequency and lead time for changes.
Change failure rate and time to restore service.
Share of infrastructure defined in code and reviewed.
Time to diagnose an incident from first alert.

Who is on the engagement

Platform engineering lead
DevOps engineers
Security engineer
Engagement director

Deliverables

CI/CD pipeline templates.
Infrastructure as code repository.
Observability stack with dashboards and alerts.
Runbooks for release and incident handling.
Team training sessions.

Engagement terms

Platform builds are fixed scope after a one-week review and typically run four to twelve weeks. Ongoing platform support and improvement can continue on a retainer with agreed response times.

Often paired with

IT Consulting

Cloud Migration & Modernisation

Move workloads to AWS, Azure, Google Cloud or hybrid and refactor the legacy systems that hold you back.

Web, Webshop & App Development

Web Applications & SaaS Platforms

Custom portals, dashboards and multi-tenant SaaS with authentication, billing and admin built in.

AI Consulting & Automation

Data Engineering & MLOps

Pipelines, feature stores, model deployment and monitoring so AI keeps working after launch.

FAQ