A cloud foundation the team understands
Clear environments, ownership, IAM boundaries, networking, and documented operating decisions.
GCP for startups and small teams
Build the cloud foundation your product can grow on.
I help growing teams turn product requirements into secure, automated, observable Google Cloud infrastructure without adding unnecessary platform complexity.
What changes
Move from “it deploys” to infrastructure the team can operate confidently.
Repeatable delivery instead of console changes
Terraform and controlled CI/CD make infrastructure reviewable, reproducible, and easier to recover.
Visibility before the first incident
Useful logs, metrics, alerts, request tracing, and runbooks are included in the platform design.
Cost controls that grow with the product
Budgets, scaling limits, service choices, and cost tradeoffs are made visible before deployment.
Focused engagements
Start with the cloud problem creating the most risk.
Each engagement produces practical decisions, prioritized findings, and implementation evidence your team can continue using.
GCP foundation review
Assess projects, IAM, networking, environments, delivery, security, reliability, and cloud spend.
Terraform delivery setup
Build reusable infrastructure, validation gates, keyless GitHub delivery, and an approval-based plan/apply workflow.
Reliability and observability review
Define service indicators, alerts, dashboards, incident paths, backup expectations, and operational evidence.
GCP startup readiness checklist
How prepared is your platform for real users?
0%0 of 12 controls
Unchecked items are useful discussion points, not a score of failure. The right controls depend on the workload, data, risk, and stage of the business.
Implementation evidence
SignalDesk proves the complete path from architecture to verified operation.
The case study documents Cloud Run, private Cloud SQL, keyless GitHub delivery, policy-checked Terraform, request-level observability, and budget alerts.
Review the case study
Review source on GitHubStart with clarity
Bring the product idea, current architecture, or cloud problem.
Planning your first Google Cloud environment
Should a small team start with Cloud Run or GKE?
Start with the workload and the team's operating capacity. Cloud Run suits many containerized web applications without requiring cluster management. GKE makes sense when Kubernetes capabilities justify that added responsibility. The SignalDesk case study explains why I chose Cloud Run and what that choice gives up.
What should we automate with Terraform first?
Begin with repeatable foundations: projects, service identities, permissions, networking, and the runtime. Keep state protected, review the actual plan, and define which resources Terraform owns before connecting application delivery.
How do we avoid unexpected cloud bills?
Estimate baseline database and networking costs, set service scaling limits, and assign a cost owner. Add budget alerts early, but do not treat them as a hard spending cap. Review actual usage after deployment.
What should I bring to a cloud review?
Your current architecture or product requirements, data sensitivity, expected traffic, recovery needs, and a realistic budget. We can use those constraints to identify the next useful change. Discuss your GCP project.