Cloud, DevOps and automation capability, from manual release cycles to reliable delivery

Cloud platforms, delivery pipelines and automation built so releases become routine, environments stay consistent, and infrastructure cost is understood rather than absorbed.

The problem we are usually brought in to solve

Most organisations reach us with cloud already in use rather than cloud fully adopted. Workloads have moved, but the operating model around them has not, so releases still depend on a small number of people and a quantity of out-of-hours effort.

The symptoms are consistent: environments that drift apart, deployments rehearsed rather than routine, infrastructure provisioned by hand, and a cost line growing faster than the workload it supports.

The work is rarely a fresh start. It is closing the gap between the platform that already exists and the delivery discipline needed to run it predictably, without pausing the roadmap while that happens.

Who this is for

Teams that have migrated to cloud but have not yet realised the delivery gains
Organisations where releases are infrequent, manual or dependent on specific individuals
Engineering leaders facing cloud spend that is rising without a clear driver
Businesses standardising delivery across several teams or acquired entities
Programmes needing platform and pipeline capability alongside their own developers

How we approach it

We start with how software actually reaches production today, including the manual steps and the informal knowledge that keeps it working. That baseline decides whether the priority is the pipeline, the platform, or the operating model around both.

Delivery is incremental and owned by your team from the outset. We automate the highest friction path first, prove it on a real service, then extend the pattern, documenting as we go so the capability remains after we leave.

Typical projects we deliver

Representative engagement types. Scope is always shaped around the programme and the capability already in place.

Cloud migration and landing zone design

Account structure, networking, identity and guardrails established before workloads move at scale.

CI/CD pipeline implementation

Build, test and release automation that turns deployment into a routine, auditable event.

Infrastructure as code adoption

Environments defined in code so they can be rebuilt consistently and reviewed like any other change.

Platform engineering and internal tooling

Self-service paths that let product teams provision and ship without waiting on a central queue.

Observability and reliability engineering

Monitoring, alerting and service objectives that surface problems before customers report them.

Cloud cost and efficiency review

Spend attributed to workloads and teams, with the changes that reduce it ranked by effort.

Capabilities

Cloud architecture and landing zone design
Migration planning and execution
Infrastructure as code and configuration management
CI/CD design and pipeline engineering
Container orchestration and workload design

Platform engineering and developer experience
Observability, monitoring and incident response
Release management and deployment strategy
Cloud cost management and optimisation

Platforms and technologies we work across

Practical working experience across these environments. We are not a reseller for any of them, so platform recommendations stay independent.

AWSMicrosoft AzureGoogle CloudKubernetesTerraformGitHub ActionsAzure DevOpsDockerAnsible

What changes as a result

Releases happen on a predictable cadence rather than as events
Environments can be rebuilt from code instead of from memory
Provisioning no longer waits on a central bottleneck
Failures are detected by monitoring rather than by customers

Cloud spend is attributable to the workloads that drive it
Delivery knowledge sits in pipelines and documentation, not individuals
New services adopt the same pattern without rebuilding it each time

How we can deliver it

Delivered through whichever model fits the programme. Compare all delivery models

Statement of Work (SOW) Delivery

A defined migration, pipeline build or platform delivery with agreed milestones and acceptance criteria.

Squad Mobilisation

A full platform team spanning cloud engineering, automation and reliability.

Technical Advisory

Cloud architecture review, delivery assessment and automation roadmap.

Contract Specialists

Targeted DevOps, SRE or cloud engineering capacity for a delivery phase.

Fractional & Part-Time Talent

A part-time platform lead where a full-time appointment is not yet warranted.

Frequently asked questions

Can you work with our existing cloud setup rather than rebuilding it?

Yes, and that is the more common engagement. We assess what is already in place, keep what is sound, and change only what is preventing reliable delivery. A rebuild is a recommendation we have to justify, never a default.

We are on more than one cloud provider. Is that a problem?

No. Multiple providers are normal, particularly after acquisitions. The priority is consistent delivery practice and clear ownership across them, rather than consolidating onto one platform before there is a business reason to.

Do you provide individual specialists or whole teams?

Both. Some programmes need one senior DevOps or SRE engineer alongside an existing team; others need a full platform squad. The delivery models above set out how each is structured and governed.

How do you make sure the automation is maintained after you leave?

Handover is part of delivery rather than a closing phase. Your engineers work in the pipelines and the code alongside us, decisions are documented as they are made, and we prove the capability on a real service before the engagement ends.