AWS · Azure · Google Cloud
DevOps &multi-cloud engineering
Infrastructure as Code, containers and well-architected cloud foundations on AWS, Azure and GCP — repeatable, observable and cost-aware from day one.
Built with
Swipe to explore
Platforms & tools
AWS
Microsoft Azure
Google Cloud
Terraform
Kubernetes
Docker
Amazon EKS
Azure Kubernetes Service
Amazon ECR
Azure Container Registry
AWS Fargate
Azure Container Apps
Amazon EC2
Azure Virtual Machines
Amazon S3
Azure Blob Storage
AWS Lambda
Azure Functions
Overview
DevOps & Multi-Cloud Engineering
We build, automate and optimise cloud infrastructure across AWS, Microsoft Azure and Google Cloud Platform — enabling reliable deployments, scalable architectures and repeatable infrastructure management with modern DevOps practices.
The problem we solve
Hand-built servers, click-ops consoles and one-off scripts make infrastructure fragile and hard to reproduce. Environments drift apart, releases become risky and cloud bills grow without anyone knowing why.
How we work
We assess your current setup, design a target architecture on AWS, Azure or GCP, then codify it with Terraform and cloud-native tooling — networking, IAM, compute, containers and backups — reviewed and versioned like application code.
What you get
Infrastructure you can recreate from code, consistent environments from development to production, clear ownership of cost and access, and documentation your team can run with.
One view across every cloud.
Resources on AWS, Azure and Google Cloud, Kubernetes capacity, Terraform drift, cost and backups in one place. This is an interactive sample with demo data.
Cloud Atlas
infra / multi-cloud
Multi-cloud estate
5,802
managed resources · 24 accounts · 7 regions3,842resources
eu-west-1 · us-east-1 · ap-south-1
healthy99.6%
1,276resources
westeurope · centralindia
healthy99.3%
684resources
europe-west4 · us-central1
healthy99.8%
Landing-zone guardrails · tagging policy 98% compliant · SSO everywhere
Cloud spend ($k / month)
▼ 34.6%$40.6k
vs $58k budget3
clouds
- AWS58%
- Azure27%
- GCP15%
- saved $21.4k/mo · spot + rightsizing
Kubernetes · eks-prod
28/ 40 pods
HPA · cpu 65%running headroom
node-am7g.xlarge
cpu62%mem71%node-bm7g.xlarge
cpu48%mem64%node-cc7g.2xlarge · spot
cpu74%mem58%
Terraform · IaC state
drift: 0- network-coreawsplan: +0 ~0 -0
- eks-prodawsplan: +3 ~1 -0
- aks-analyticsazureplan: +0 ~2 -0
- gke-mlgcpplan: +1 ~0 -0
- dns-edgemultiplan: +0 ~0 -0
remote state · locked · policy checks on every plan
Backup & disaster recovery
restore tests 12/12 ✓Last snapshot
3m 12s
ago · every 5 min
RPO
5 min
target ≤ 15 min
RTO
38 min
last DR drill · target ≤ 60
Cross-region lag
3.2s
eu-west-1 → eu-central-1
What's included
Cloud foundations engineered for reliability, security and cost control.
Cloud assessment & strategy
A review of your current estate and goals, with a target architecture and a phased, costed roadmap.
AWS, Azure & GCP engineering
Landing zones, accounts and projects, compute, storage and managed services designed for your workload.
Cloud migration & modernisation
Assessment, migration planning and phased moves from on-premise or between clouds — re-host, re-platform or refactor.
Infrastructure as Code
Terraform and cloud-native templates with modules, remote state, code review and automated plans.
Docker, Kubernetes & containers
Containerised workloads on EKS, AKS, GKE or self-managed clusters with Helm and autoscaling — plus serverless containers on Azure Container Apps and AWS Fargate, with images in ACR, ECR or Artifact Registry.
Networking, IAM & configuration
VPC/VNet design, private connectivity, least-privilege IAM roles and consistent configuration management.
Cost optimisation & governance
Right-sizing, reserved capacity and savings plans, tagging policies and budgets that make spend visible.
Cloud storage & data protection
Amazon S3, Azure Blob Storage and Google Cloud Storage set up with lifecycle policies, encryption, replication and tight access controls.
Python & scripting automation
Python, Bash and Ansible automation for provisioning, routine operations and self-healing runbooks — no more manual console work.
High availability & disaster recovery
Multi-AZ designs, backup policies and documented recovery plans with RPO/RTO targets you agree up front.
Where teams usually start
Common ways teams work with us on cloud infrastructure.
Cloud foundation setup
A secure multi-account or multi-subscription baseline with networking, IAM and logging defined in Terraform.
On-premise to cloud migration
Workload discovery, migration waves and cut-over planning to move applications into AWS, Azure or GCP.
Click-ops to Infrastructure as Code
Importing existing resources into Terraform so every change is reviewed, versioned and repeatable.
Kubernetes adoption
Containerising services and running them on managed Kubernetes with Helm charts and autoscaling.
Cloud cost review
A structured look at usage, idle resources and pricing options, with prioritised recommendations.
Backup & DR planning
Backup policies, restore testing and a written recovery runbook matched to your business needs.
FAQ
Questions about DevOps & Multi-Cloud
- Which cloud providers do you work with?
- We engineer infrastructure on Amazon Web Services, Microsoft Azure and Google Cloud Platform, and can design for a single cloud or a multi-cloud setup.
- Do you use Infrastructure as Code?
- Yes. We default to Terraform, alongside cloud-native tools where they fit, so infrastructure is versioned, reviewed and reproducible.
- Can you work with our existing cloud setup?
- Yes. Most engagements start from an existing environment: we assess it, import resources into code where useful and improve it incrementally.
Ready to put your infrastructure on solid ground?
Tell us about your current cloud setup and where it hurts. We'll suggest a practical path forward.
Discuss your infrastructure