Service

Infrastructure that scales and stays accountable

Cloud work is only worth doing when it improves something specific: release speed, resilience, cost, or the ability to meet a control requirement. We plan and execute migrations and platform work against those outcomes, and leave behind infrastructure your team can operate.

Review Your Infrastructure

Business problems

What clients come to us with

If one of these matches your situation, we have a starting point.

Cloud spend keeps rising without a clear cause

We attribute cost to workloads and owners, then remove the waste that attribution exposes.

Infrastructure changes are manual and undocumented

We move environments into version-controlled infrastructure as code so changes are reviewable and repeatable.

A migration has stalled between data centre and cloud

We sequence the remaining workloads by dependency and risk, and finish the move in defined stages.

Recovery has never actually been tested

We define recovery objectives, build to them, and rehearse the failure rather than documenting an intention.

Capabilities

Cloud & Infrastructure capabilities

Cloud migration

Assessment, sequencing and execution for workloads moving to AWS, Azure or Google Cloud.

Infrastructure as code

Version-controlled, reviewable environment definitions and repeatable provisioning.

DevOps and release engineering

Build and deployment pipelines, environment parity and automated release gates.

Containers and orchestration

Containerized workloads and Kubernetes platforms sized to the team that will run them.

Reliability engineering

Monitoring, alerting, capacity planning and tested recovery procedures.

Cost engineering

Spend attribution, rightsizing and commitment planning tied to workload owners.

How we work

Our delivery approach

Inventory

Catalogue workloads, dependencies and current operating cost.

Target

Agree the architecture and the outcome each move has to deliver.

Migrate

Execute in stages, each independently verifiable and reversible.

Operate

Hand over monitoring, runbooks and cost controls to your team.

Technology

Technologies we work with

Technology is chosen to fit the client environment and the people who will maintain it, not the other way round.

Cloud

AWS
Microsoft Azure
Google Cloud

Automation

Terraform
Ansible
Bicep
CloudFormation

Runtime

Kubernetes
Docker
Serverless

Operations

Prometheus
Grafana
Datadog
Azure Monitor

Experience

Relevant experience

Manufacturing

Product traceability and production management

Challenge: Production and supply records were held in systems that could not be reconciled, so a unit could not be traced back through its production history.
Approach: Built a shared traceability record spanning production and distribution events, with each step written once and readable by every downstream system.

Distributed ledger
Systems integration
Web application

Operations

Online warehouse management system

Challenge: Stock movement, locations and fulfilment status were tracked manually, leaving inventory accurate only as of the last count.
Approach: Modelled the real warehouse process first — receiving, put-away, picking, dispatch — then built to it rather than to a generic inventory template.

Web application
Relational database
Role-based access

Applied AI

Voice-driven AI reservations and ordering

Challenge: Orders and reservations arrived by phone and had to be transcribed by staff, which capped throughput at busy periods.
Approach: Applied speech recognition and intent handling to the narrow, high-volume part of the conversation, leaving staff to handle exceptions.