Home · Platforms
Platform Practice

Google Cloud Practice

Google Cloud is our deepest platform: six years of production work, a Google Cloud Professional Data Engineer certification on the team, and the engagements behind our headline results — the 150+ user AI agent, the ~$10K/month cost reduction, the 6-hour pipeline rebuilt to 30 minutes all run on GCP.

What You Get

Deep GCP, applied to SMB-scale problems.

Data platforms that pay for themselves

BigQuery architectures modeled and partitioned properly — the difference between a warehouse that scales in cost with value and one that scales in cost with mistakes.

AI on Vertex AI, in production

Agent deployments with the surrounding engineering — retrieval, evaluation, monitoring — that enterprise GCP teams use, sized for your operation.

Cost programs with receipts

Committed-use strategy, workload profiling, and the query-level fixes that took ~$10K/month off a client’s bill.

Certified, current practice

Professional-level GCP certification and production agent work — not a partner logo rented for the website.

Scope

What we do on Google Cloud Practice.

  • BigQuery platforms — modeling, partitioning, and cost architecture
  • Vertex AI agent systems — build, evaluation, and operations
  • Data pipelines — ingestion and transformation at production scale
  • Cloud foundations — landing zones, IAM, and cost guardrails
  • Cost optimization — audits and the engineering fixes behind them
  • Looker reporting — on governed BigQuery models
FAQ

Platform questions.

We’re on AWS. Is GCP relevant to us?
Only if a workload argues for it — we run an AWS practice too and recommend per workload, not per habit. Plenty of clients keep data on GCP and applications on AWS, deliberately.
Can you take over our existing GCP estate?
Yes — starting with an audit of cost, security, and architecture. Most estates need targeted fixes, not a rebuild, and the audit ranks them by risk and savings.
Do you resell Google Cloud?
No. We work in your accounts under your billing relationship — no margin on your cloud spend, ever. Our incentives stay pointed at reducing it.
Related

Often paired with.

Data Engineering

BigQuery platforms are our most-built workload.

Explore

AI Agents & Assistants

Vertex AI deployments with production discipline.

Explore

Cloud Cost Optimization

The audit behind our ~$10K/month result.

Explore

Start with a fit call.

Thirty minutes. Bring the problem as it actually is — the stalled pilot, the bill, the spreadsheet everyone quietly maintains. We’ll tell you honestly whether we’re the right builder for it.

You leave with a straight answer on fit — and if it fits, a free Blueprint to follow.