Cloud & DevOps
Infrastructure that scales automatically and fails gracefully
Bad infrastructure kills good software. We design and build cloud architectures that handle your peak traffic, recover from failures automatically, and let your developers ship faster — with full observability so you're never flying blind in production.
Our Cloud & DevOps Capabilities
Every engagement is built around your specific goals — here's the full scope of what we bring to the table.
Cloud Architecture (AWS/GCP)
Multi-region architectures, VPC design, IAM policies, load balancing, and auto-scaling groups. We build for 10× your current traffic — because growth shouldn't cause outages.
Infrastructure as Code
Terraform and Pulumi configurations that make your entire infrastructure reproducible, version-controlled, and deployable in minutes — not days.
CI/CD Pipelines
GitHub Actions, GitLab CI, and CircleCI pipelines with automated testing, security scanning, and zero-downtime deployments. Every merge to main ships safely.
Containerisation & Kubernetes
Docker containerisation of all services, Kubernetes cluster management (EKS, GKE), Helm chart authoring, and horizontal pod autoscaling.
Monitoring & Observability
DataDog, Grafana, Prometheus, and PagerDuty configured with meaningful alerts — not alert storms. SLO/SLA dashboards your whole team can understand.
Cost Optimisation
Cloud cost audits, reserved instance strategies, spot instance integration, and right-sizing recommendations. We've cut AWS bills by 40% without touching performance.
Our Process
A structured, transparent workflow so you always know what's happening and what comes next.
Infrastructure Audit
Reviewing your current cloud setup for security vulnerabilities, cost inefficiencies, single points of failure, and scaling bottlenecks.
Architecture Design
Target-state architecture diagram, capacity planning, disaster recovery design, and security baseline documented and approved before any changes.
IaC Migration
Converting your infrastructure to Terraform, bringing all resources under version control, and establishing environment parity between staging and production.
Pipeline Build
CI/CD pipeline construction with automated tests, container builds, security scanning, and staged deployment with automatic rollback on failure.
Observability Setup
Metrics, logging, distributed tracing, and alerting configured. Runbooks written for every alert so on-call engineers know exactly what to do.
Tools & Technologies
We use best-in-class tools and frameworks — chosen for your project, not for familiarity.
What You Receive
Everything you need to go live and grow — documented, handed over, and supported.
Common Questions
Yes. We start with a Well-Architected Review, identify the highest-priority improvements, and implement them incrementally without disrupting production.
For most web applications and AI workloads, both work well. GCP has a slight edge for ML/AI workloads (TPUs, Vertex AI). AWS has broader service breadth. We'll recommend based on your specific needs.
Both. We offer one-time setup engagements and ongoing managed infrastructure retainers with monthly reviews and 24/7 alerting.
Blue-green deployments, read replicas, and rigorous rollback testing. We've never caused data loss on a migration.
We can implement the technical controls required for both frameworks. We work alongside your compliance consultant or can refer you to trusted partners.
Often Combined With
Ready to invest in Cloud & DevOps?
Book a free 30-minute discovery call. No pitch, no pressure — just a genuine conversation about what you need and how we can help.