Org & Folder Foundation
Resource Manager hierarchy, folder-scoped policy, billing-account discipline. The boring foundation that survives every reorg.
Org · Folder · PolicyCloud Platforms · 03 of 04 · GCP
The cloud for when the workload is analytical.
BigQuery, Vertex AI and Gemini, GKE Autopilot, Spanner. Google Cloud's sharp edge is data and ML — we wire it the way Google's own SREs would, with the FinOps to keep BigQuery from becoming BigBill.
15GCP certifications
9 PBUnder analytic management
PremierPartner · Data & ML
What we deliver on Google Cloud
BigQuery + Vertex + GKE — the real sweet spot.
Google Cloud's edge isn't breadth — it's a few things done unusually well. We focus where it wins, and tell you honestly where it doesn't.
BigQuery as the platform
Slot reservations + on-demand for spikes, partitioning & clustering as a first-class concern, BigLake for the long tail in GCS.
BigQuery · BigLake · BI EngineVertex AI & Gemini
End-to-end MLOps on Vertex — training, registry, online & batch prediction, evaluation. Gemini for generative use cases that live next to your data.
Vertex · Gemini · Model GardenGKE Autopilot & Cloud Run
Autopilot for the workloads that just want a pod, Cloud Run for HTTP services that should be invisible. Less cluster-management, more shipping.
GKE · Autopilot · Cloud RunSecurity & SCC
VPC Service Controls drawing perimeter around your data, SCC Enterprise for posture, Workload Identity Federation everywhere.
SCC · VPC-SC · WIF · CMEKBigQuery FinOps
Slot autoscaling, query cost guardrails, reservation modeling, scheduled query review. Per-team chargeback in Looker, not in a spreadsheet.
Slot Mgmt · Reservations · QuotaReference Data Pipeline
From stream to insight, in one project.
Pub/Sub at the edge, Dataflow in the middle, BigQuery at the warehouse. Vertex on top, Looker on the side. Streamed, tested, observable, billed by the team that owns it.
One project. Five integrations. Zero Rube Goldberg.
The GCP pipeline does what its competitors can do — with less Lego. Pub/Sub feeds Dataflow, Dataflow lands BigQuery, BigQuery serves Looker, Vertex and Cloud Run. Same SQL surface from the developer to the BI analyst.
- 1
One SQL dialect, everywhere
Analysts, engineers and ML scientists all write in BigQuery SQL. Less translation tax, less drift.
- 2
Slot reservations + on-demand
Predictable cost for the baseline, elastic on-demand for the spikes. Per-team chargeback at the project level.
- 3
Vertex pipelines for ML
Training, registry, online & batch — all serverless, all callable from a notebook or a CI job.
- 4
Looker as the semantic layer
LookML in version control. Metrics defined once, consumed by BI, Vertex and embedded apps.
The Google Cloud surface we live in
Sharp where it's sharp. Honest where it isn't.
The services we've shipped at scale — and a few we'll happily talk you out of.
Data & Analytics
BigQueryBigLakeDataflowDataformDataplexPub/Sub
AI & ML
Vertex AIGeminiModel GardenDocument AIAutoML
Compute
GKE AutopilotGKE StandardCloud RunCloud FunctionsCompute Engine
Databases
SpannerAlloyDBCloud SQLFirestoreBigtable
Network
VPCCloud ArmorCloud Load BalancingInterconnectPSC
Security
SCCVPC-SCWorkload IdentityCMEKDLP
IaC & Delivery
TerraformCloud BuildCloud DeployConfig Controller
Operations
Cloud LoggingCloud MonitoringTraceProfiler
Recent GCP work
Where Google Cloud quietly wins.
Three quick takes from the last twelve months.
Petabyte BigQuery warehouse with $0 surprise.
Slot reservations + autoscaling, per-team chargeback dashboards in Looker, query cost guardrails enforced at the org level.
9 PBManaged
−61%$ per TB scanned
BigQueryLookerDataform
Vertex pipeline · 1.3M docs/day with PHI safety.
Doc parsing on Vertex, PHI redaction with DLP, evaluation harness in CI. Models retrained weekly, drift visible in Cloud Monitoring.
1.3MDocs / day
0PHI leaks
VertexDLPDocument AI
Spanner for the control plane. Globally consistent.
Migration from sharded MySQL to Spanner. Linear scale, strong consistency, no shard maintenance. The control-plane outages stopped.
0Shard ops
99.999%Year 1 SLA
SpannerGKECloud Build
BigQuery without the BigBill.
30 minutes. We'll review your slot usage, the top-10 most expensive queries, and the FinOps levers you haven't pulled yet.