Cloud and DevOps services for teams that need to move fast
Slow, manual deployments and unpredictable servers drain engineering time. DevOps fixes that by treating infrastructure and releases as code: automated, tested and repeatable. Our cloud and DevOps services help you get there without a long, disruptive overhaul — we start with the changes that remove the most friction and build from there.
Where we usually start
Most engagements begin with a short assessment. We look at how code gets from a developer's laptop to production, how environments are created, what is monitored, whether backups are ever tested and where cloud money is going. You receive a clear report with quick wins and a longer-term roadmap, whether or not you continue with us.
CI/CD pipelines
Every commit should be built, tested and deployable automatically. We set up pipelines in GitHub Actions, GitLab CI or Azure DevOps that run unit and integration tests, scan dependencies and container images, and deploy to staging and production with approvals where needed. Blue-green and canary releases turn rollbacks into a button press. Pipelines plug directly into the automated suites built by our QA and software testing team.
Kubernetes — when it's worth it
Kubernetes is powerful, but it isn't always necessary. For a single application with modest traffic, managed services like AWS ECS, Azure App Service or Google Cloud Run are often simpler and cheaper. When you run many services, need fine-grained scaling or want portability across clouds, we build production-grade clusters on EKS, AKS or GKE with Helm, GitOps through Argo CD, autoscaling and sensible resource limits.
Infrastructure as code
We define networks, databases, clusters, DNS and permissions in Terraform or Pulumi. Changes go through code review, environments can be recreated in minutes, and you keep a complete, version-controlled record of your infrastructure — which also makes security audits far simpler.
Cloud cost optimisation
Cloud bills tend to grow quietly. Our cost reviews typically cover:
- Right-sizing over-provisioned instances and databases
- Savings Plans, reserved capacity and spot instances for suitable workloads
- Shutting down non-production environments outside working hours
- Storage lifecycle policies and cleanup of orphaned volumes and snapshots
- Caching and CDN configuration to reduce compute and data-transfer costs
- Tagging and budgets so every team can see what it spends
Security built into the pipeline
We apply DevSecOps practices from day one: least-privilege IAM, secrets kept in a vault rather than in code, encrypted storage, network segmentation and automated vulnerability scanning. For deeper assessments and compliance readiness, we work alongside our cybersecurity specialists. Running AI workloads? We also deploy GPU inference and private models for our LLM development clients.
Building a new platform? Our custom software development team designs for the cloud from day one, while smaller websites that don't need a full DevOps setup are often better served by our managed domain and cloud hosting. Explore our case studies or contact our DevOps team to arrange an infrastructure assessment.