Engineering capabilities
- VPC and firewall design
- Compute sizing
- Managed database selection
- Workspace integration
Cloud & Virtualization
GCP compute and networking for workloads that benefit from its data and container services.
Projects are the isolation boundary, IAM is granted on groups rather than individuals, and networking is shared rather than duplicated per team.
Access granted to groups at folder level; service accounts scoped and keyless wherever workload identity allows.
Global load balancing with managed certificates and WAF rules at the edge.
Shared VPC keeps one network model while projects retain their own resource ownership.
Managed services chosen where they remove operational burden; instances sized from observed utilisation.
Log sinks retained centrally, alerting on SLOs, budget notifications enabled per project.
Where the estate is container-heavy, data and analytics workloads dominate, or the organisation already runs Google Workspace identity. Otherwise selection follows cost, skills and support expectations.
Cloud Run handles stateless HTTP services with far less operational overhead. GKE is warranted when you need custom networking, operators, stateful workloads or fine-grained scheduling.
Committed use discounts for steady workloads, autoscaling and preemptible or spot nodes where interruption is acceptable, plus per-project budgets and quota limits.
Yes. Workspace groups drive IAM bindings, with 2-step verification enforced so cloud access inherits the same identity controls as mail.
Send the environment details and get an engineered proposal with assumptions, risks and a rollback path.