cloud
Google Cloud Platform
Cloud platform for data-heavy and Kubernetes-native workloads — GKE, BigQuery, and managed data services.
How we use it
GCP is our pick for teams that are Kubernetes-native or lean on BigQuery and Google's data tooling. GKE is one of the most mature managed Kubernetes offerings, so it is often the shortest path for container-first estates.
Services we usually land
- GKE — managed Kubernetes
- Cloud SQL — managed PostgreSQL and MySQL
- BigQuery — analytics at scale
- Cloud Storage — objects, backups, static assets
- Cloud Run — container workloads without cluster management
Typical patterns
- Container-first — GKE as the default compute target
- Managed databases — Cloud SQL with automated backups and read replicas
- Analytics — BigQuery for reporting and historical queries
- Auto-scaling — scale on real metrics, not hope
Our standards on GCP
Infrastructure in Terraform. Workloads containerised on GKE. Managed databases with automated backups. Cost visibility from day one.
Related services
- Cloud Migration — move production onto GCP without planned downtime
- Kubernetes & DevOps — ongoing platform and cost work
Using Google Cloud Platform in production?
Tell us what you run today. We will say whether Google Cloud Platform fits, what we would change, and what it would take — no deck.