Cloud & DevOps Services
Infrastructure that ships faster, costs less, and doesn't page someone at 2am — from first Terraform file through multi-region Kubernetes and MLOps pipelines.
Infrastructure that matches the software
A great application running on amateur infrastructure gets paged incidents, surprise bills, and deployments that take 45 minutes. We build the infrastructure layer from the same engineering discipline we apply to the application — typed, tested, version-controlled, and observable.
What we deliver
- Cloud architecture & migration — AWS, Azure, GCP right-sizing and landing-zone setup
- Infrastructure as Code — Terraform or Pulumi; every resource version-controlled, auditable, reproducible
- CI/CD pipelines — GitHub Actions, GitLab CI, or Bitbucket Pipelines with test gates, security scanning, and zero-downtime deploys
- Kubernetes & container orchestration — EKS, AKS, GKE; HPA, pod budgets, multi-region failover
- Observability stack — metrics, logs, traces (Grafana, Prometheus, Loki, Tempo or Datadog) with meaningful alerts, not noise
- Security hardening — VPC design, IAM least-privilege, secrets management (Vault, AWS SSM), WAF, DDoS mitigation
- MLOps pipelines — model training pipelines, feature stores, model registry, A/B serving infrastructure
- Cost optimisation — reserved instance planning, spot fleet management, right-sizing audits
Our DevOps engagement types
Greenfield infrastructure (new project)
We architect the cloud environment in parallel with application development — landing zone, CI/CD, monitoring, and deployment pipeline all production-ready on day one of go-live.
Infrastructure audit & remediation
We review your existing cloud setup for security gaps, cost waste, and reliability risks. Deliverable: a prioritised remediation plan with estimated savings and implementation timeline.
DevOps retainer
Ongoing platform engineering — incident response, dependency patching, capacity planning, and shipping infrastructure improvements alongside your application team.
We've reduced cloud bills by an average of 34%
- Reserved instance planning — 1-year and 3-year commits sized to your actual baseline load
- Spot / preemptible workloads — batch jobs, dev environments, ML training on spot at 70% discount
- Right-sizing — automated weekly reports on underutilised resources
- Storage tiering — S3/Blob lifecycle policies moving infrequent data to cheaper tiers automatically
Questions buyers actually ask
Yes — infrastructure audits are a defined engagement. We review your architecture, security posture, cost efficiency, and reliability, then deliver a prioritised remediation plan.
Yes. We do hybrid cloud architectures — on-premise Kubernetes clusters, site-to-site VPN, and workloads that span on-prem and cloud based on data residency or cost requirements.
Incident response, monthly infrastructure reviews, dependency and security patching, capacity planning, and 20 hours of planned improvement work per month. Starting at $2,500/month.
Yes — GPU node pools, feature stores, model registries, training pipelines, and inference serving are all within scope. We run MLOps projects alongside AI development engagements.
Where cloud & devops goes next
Custom Software Development
The application your infrastructure runs.
See platform builds →Cybersecurity
Security hardening, penetration testing, and compliance beyond DevOps basics.
See security services →AI & ML Development
MLOps pipelines and GPU infrastructure for production AI workloads.
See AI services →Tell us the outcome. We'll engineer the path.
Free 30-minute strategy call — leave with a direction and an honest estimate.
Book Your Strategy Call