Cloud architecture
Secure, well-architected foundations on AWS, Azure or Google Cloud, including hybrid and multi-cloud.
Cloud & DevOps
We design cloud platforms and delivery pipelines that make releasing software routine: automated builds and tests, infrastructure defined in code, safe roll-outs, and monitoring that tells you about a problem before your customers do.
What we do
Secure, well-architected foundations on AWS, Azure or Google Cloud, including hybrid and multi-cloud.
Assessment, migration plan and execution, moving workloads with minimal downtime.
Build, test, scan and deploy on every commit with GitHub Actions, GitLab CI, Azure DevOps or Jenkins.
Terraform and Helm, reviewed like code, so environments are repeatable and auditable.
Container platforms on EKS, AKS, GKE or on-premise, including for edge and IoT workloads.
Metrics, logs, tracing, SLOs and alerting with runbooks, in Prometheus, Grafana or your cloud’s tools.
Secrets management, dependency and container scanning, least-privilege IAM and hardening built into the pipeline.
Right-sizing, reservations, storage tiers and tagging so every dollar of spend has an owner.
Moving to the cloud
There is no single right way to migrate. Most estates use all three, application by application.
| Rehost (“lift and shift”) | Replatform | Refactor | |
|---|---|---|---|
| What changes | Nothing in the application; servers move | Managed services replace parts (databases, queues) | The application is redesigned to be cloud-native |
| Speed | Fastest | Moderate | Slowest |
| Cloud benefits | Limited; costs can rise | Good: less to operate | Highest: scaling, resilience, pay-per-use |
| Best for | Deadlines, data-centre exits | Stable apps with heavy operations work | Core systems that will keep evolving |
What changes for your team
Good DevOps is measured in calmer weeks: fewer failed deployments, faster recovery when something breaks, and engineers spending their time on features instead of servers.
Usually the one your organisation already has skills, contracts or data in. We work across AWS, Azure and Google Cloud and will give you an honest comparison for your workload.
Yes. Many of our industrial and building clients run workloads on-premise or at the edge; we bring the same automation there, including Kubernetes on site.
Yes: monitoring, patching, incident response and regular cost reviews under a support agreement, or coaching so your own team can run it.
A cost review usually finds quick savings in idle resources and over-sized instances, then longer-term ones in architecture and commitments.
Tell us how you build and release today. An engineer replies within 24 hours.