
Public Cloud · Google Cloud
Data-intensive workloads on Google Cloud
Scalable compute, containers and analytics platforms engineered and operated by our team.
Overview
Google Cloud design, Kubernetes platforms and managed operations.
Google Cloud is a strong platform for container-based and data-heavy applications. We design projects, networking and IAM for clarity, then build GKE, Cloud SQL and data pipelines with monitoring and cost visibility from the start.
Capabilities
What is included
- 01
Project and IAM design
Organisation structure and least-privilege access from day one.
- 02
Kubernetes platforms
GKE clusters with autoscaling, ingress and observability.
- 03
Managed data services
Cloud SQL, storage and pipelines with backup policies.
- 04
Cost visibility
Budgets and labelling that make spend explainable.
Architecture
How Google Cloud fits together
A simplified view of the flow we design, build and operate. Every environment is tailored to your workloads and risk profile.
- UsersBrowsers & apps
- CDN + WAFEdge protection
- Load balancerMulti-zone
- App nodesAuto-scaling
- App nodesAuto-scaling
- DatabaseReplicated
- BackupCross-region
Predictable operations
Defined SLAs, monitoring and escalation rather than ad-hoc firefighting.
Security by design
Least-privilege access, encryption and logging built into the foundation.
One accountable partner
Architecture, migration and run support from the same team.
Our approach
From first call to steady state
- 01
Assess
We review workloads, dependencies, compliance needs and current costs.
- 02
Design
Architecture, networking, identity and security controls are designed and agreed.
- 03
Build and migrate
Environments are built as code and workloads are moved with tested rollback.
- 04
Operate
Monitoring, patching, backup and optimisation by our operations team.
FAQ
Common questions
How do you get started with Google Cloud?
Will you work with our existing team and tools?
How is support provided after delivery?

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