DevOps & Cloud Infrastructure
Cloud infrastructure on AWS, GCP, or Azure — built as code with Terraform, deployed with zero-downtime pipelines, and observable from day one.
Overview
A slow CI/CD pipeline or a fragile deployment process is a tax on every engineer on your team. We build infrastructure that stays out of the way — fast pipelines, zero-downtime deployments, and auto-scaling that handles traffic spikes without 3am pages.
We work primarily on AWS but are equally comfortable on GCP and Azure. Everything is infrastructure-as-code with Terraform — version-controlled, auditable, and reproducible by anyone on your team.
What's Included
- AWS, GCP, Azure architecture and migration
- Terraform infrastructure-as-code
- Docker containerisation and Kubernetes orchestration
- GitHub Actions / GitLab CI/CD pipelines
- Zero-downtime blue/green deployments
- Observability stack (Datadog, Grafana, OpenTelemetry)
- Security auditing, IAM, and compliance automation
- Cost optimisation and FinOps
Technologies
Who This Is For
Common scenarios where this service delivers the most value.
Scaling Startups
Move from a single server to a resilient, auto-scaling cloud architecture before you need it.
Cloud Migration
Lift-and-shift or re-architect legacy on-premise systems to cloud — with minimal downtime.
Platform Engineering
Build an internal developer platform that makes shipping safe and fast for every engineering team.
How We Do DevOps & Cloud Infrastructure
Infrastructure Audit
We review your current setup, identify risks, and produce a prioritised improvement roadmap.
Architecture Design
Design the target architecture with clear separation of concerns, security groups, and network topology.
Implement & Automate
Terraform modules, pipeline configuration, and runbooks — everything documented and repeatable.
Handover & Training
We run your team through the new infrastructure and provide runbooks for every operational scenario.
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Automated test suites, performance benchmarks, and CI integration — so your team ships with confidence and regressions get caught before users do.
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Add AI that actually works in production — RAG pipelines, intelligent chatbots, agentic workflows, and LLM integrations built with OpenAI, Claude, and open-source models.
Learn MoreReady to Start a DevOps & Cloud Infrastructure Project?
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