Cloud and Platform Engineering
Cloud infrastructure your teams can rely on
Architecture, migration, and delivery pipelines across AWS, Azure, and Google Cloud, with the observability to know exactly what production is doing.
Overview
Moving to the cloud is the easy part. Running well in the cloud takes deliberate architecture, sensible cost controls, and operational discipline.
An infrastructure engagement covers configuration as code, delivery pipelines and monitoring, built to fit your existing systems and operational needs.
Capabilities
What Cloud & DevOps covers
Cloud Architecture
Landing zones, network design, and workload placement shaped by your compliance needs.
Cloud Migration
Wave-based migration plans that keep the business running during the move.
AWS
Architecture and engineering across compute, data, serverless, and security services.
Microsoft Azure
Azure platforms integrated with Entra ID, Microsoft 365, and existing .NET estates.
Google Cloud
Data-heavy and container-first workloads on GKE, BigQuery, and Cloud Run.
DevOps Engineering
Delivery practices and tooling that shorten the path from commit to customer.
CI/CD Pipelines
Fast, repeatable pipelines with automated tests, security checks, and progressive rollout.
Infrastructure as Code
Terraform and Pulumi modules that make every environment reproducible.
Docker
Lean, secure container images with consistent builds across teams.
Kubernetes
Production clusters with autoscaling, policy controls, and GitOps delivery.
Cloud Optimisation
Right sizing, reserved capacity, and architectural changes that reduce spend.
Monitoring and Observability
Metrics, logs, and traces tied to service level objectives the business cares about.
Technical challenges
Examples this service may address
Project requirements vary. These examples can help frame an initial discussion.
Cloud bills growing faster than usage
Idle resources and oversized instances nobody feels safe turning off.
Deployments need a war room
Releases scheduled for weekends because rollback is uncertain.
No visibility when things break
Customers report incidents before your monitoring does.
A data centre contract is ending
A hard deadline and hundreds of workloads with unclear dependencies.
How we deliver
How the work runs
Sequence and architecture are set by your goals and constraints.
- 1
Assess
Inventory workloads, dependencies, and costs. Identify quick wins and hard constraints.
- 2
Design
Build a secure landing zone and the golden paths teams will use to deploy.
- 3
Migrate
Move workloads in planned waves with rehearsed cutovers and rollback plans.
- 4
Optimise
Tune cost, performance, and reliability continuously against agreed targets.
- Git
- CI pipeline
- Artifact registry
- Kubernetes
- Service mesh
- Secrets
- VPC
- Load balancers
- Managed databases
- Metrics
- Logs
- Traces
Technology stack
Examples of technologies that may fit this service area.
- AWS
- Azure
- Google Cloud
- Terraform
- Kubernetes
- Docker
- GitHub Actions
- Argo CD
- Prometheus
- Grafana
- OpenTelemetry
- Nginx
FAQ
Common questions
Provider selection can account for workloads, existing contracts, and team skills.
Timing depends on the number of systems, their dependencies, and the required cutover plan.
A cost review can identify resources and design choices to investigate. Any savings depend on actual usage and project constraints.
Operations support and service levels depend on the agreed scope and availability requirements.
Prefer to talk it through?
A private consultation, 30 minutes with the founder, in your time zone.
Planning a cloud & devops initiative? Let us talk.
Tell us what you are working on. We start by understanding the problem, the people, and the systems involved.