Your data stack, wherever your business runs.
Native on AWS, GCP, and Azure. We design, build, and operate multi-cloud data infrastructure: warehouses, lakes, compute clusters, and the networking that connects them — managed with Terraform, Kubernetes, and Helm.
What we build
- Data warehouse setup: Snowflake, BigQuery, Redshift, or Azure Synapse — configured and optimised
- Infrastructure as Code with Terraform for repeatable, version-controlled cloud environments
- Kubernetes clusters (EKS, GKE, AKS) for running Airflow, Spark, and ML serving workloads
- Cross-cloud data replication and synchronisation between AWS S3, GCS, and ADLS
- IAM and networking: least-privilege access, VPC peering, private endpoints, PrivateLink
- Cost optimisation: reserved instances, spot instance strategies, Snowflake credit management
- Observability stack: CloudWatch, Cloud Monitoring, Azure Monitor + Grafana unified dashboards
- Disaster recovery and backup strategies for your data assets
How we work
Map your current cloud estate
We audit what you already have: services, costs, IAM policies, networking topology, and data flows across clouds.
Design the target architecture
We produce an architecture diagram and cost estimate for the target state. We justify every component choice — you should understand why each service is there.
Codify with Terraform
Every resource is defined as Infrastructure as Code. No manual console clicks. State is stored in S3 or GCS with locking. Changes go through PR review and automated plan output.
Deploy and migrate
We deploy the new infrastructure alongside existing systems, migrate data with zero downtime, and validate before cutting over. We never do big-bang migrations.
Operate and optimise
We set up cost alerts, auto-scaling policies, and monthly cost reviews. We run a 30-day hypercare period after go-live before handing over to your team.
Frequently asked questions
We are locked into one cloud provider. Can you help us diversify?+
Yes — but we will tell you honestly when it is not worth the complexity. Multi-cloud adds overhead. For most mid-market companies, a well-optimised single-cloud setup is better than a poorly managed multi-cloud one. We help you make that decision with data.
How do you manage secrets and credentials across clouds?+
We use cloud-native secret managers (AWS Secrets Manager, GCP Secret Manager, Azure Key Vault) and never hardcode credentials. For cross-cloud access, we use OIDC federation where possible rather than long-lived service account keys.
Can you help reduce our cloud bill?+
Yes. A cloud cost review is typically one of the fastest ROI activities we do. Common wins: right-sizing Redshift/Synapse clusters, switching to spot instances for Spark jobs, implementing Snowflake warehouse auto-suspend, and cleaning up orphaned resources.