“Your GCP footprint is 12 projects, 5 billing accounts, and a mix of BigQuery, GKE, Cloud Run, and Compute Engine. BigQuery alone has 40 line items on the invoice. Security Command Center has hundreds of findings. Cloud Logging holds the truth about every policy change and cost spike. Today, answering "why did BigQuery cost 3x last week?" means exporting CSVs and writing SQL against the billing dataset.”
GCP2BI
Early BirdCloud FinOpsGoogle Cloud cost, security, and logs — in plain English.
GCP2BI connects to Cloud Billing, Security Command Center, and Cloud Logging to answer cross-service questions in plain English. Per-project cost, BigQuery slot optimization, GKE right-sizing, IAM drift, and policy violations — one conversation across all your projects.
Who uses GCP2BI?
Real people with real problems this product solves.
GCP billing data requires BigQuery SQL or CSV exports to analyze across projects
Ask "which projects grew costs most this quarter" — instant answer, no SQL
BigQuery costs swing wildly with query patterns — no easy way to see the worst queries
Top cost-driving queries and datasets ranked — with optimization tips
GKE clusters silently over-provisioned; nobody owns right-sizing
Cluster and pod right-sizing recommendations with estimated savings
SCC findings, IAM recommender, and policy audits live in separate UIs
Unified security queue with cross-project correlation and priority scoring
How to connect
Connection method: GCP service account — read-only access to Billing, SCC, and Cloud Logging
Create a GCP service account with Billing Account Viewer, Security Center Admin Viewer, and Logging Viewer
Generate a JSON key and upload it to GCP2BI
Historical billing export, SCC findings, and recent audit logs sync automatically
Ask cost, security, and compliance questions in plain English — no BQ SQL required
What it replaces
Every feature exists because something was broken before.
Cross-project cost
GCP cost views split by project with no easy rollup across billing accounts
Aggregates billing across all linked projects — filter by label, folder, or billing account
BigQuery optimization
Runaway queries scan terabytes and blow the month's budget
Ranks most expensive queries, partition misses, and slot contention — suggests fixes
GKE right-sizing
Pod requests set higher than real usage burns CPU and memory credits
Analyzes container metrics and recommends per-deployment request/limit changes
Committed Use utilization
CUDs purchased but nobody tracks whether they are actually utilized
CUD utilization dashboard — flags unused commitments by SKU and region
SCC unified view
Security findings scattered across projects with no priority ranking
One queryable feed — ask "critical findings in prod folder this week" and get the list
Audit log search
Investigating permission changes and cost spikes requires Cloud Logging expertise
Plain English queries on audit logs — who, what, when, in which project
Questions you can ask right now
Type any of these into GCP2BI and get an instant answer.
Industries using GCP2BI
Same product, different industries. Here's how teams across sectors use GCP2BI to solve their specific data pains.
SaaS & Tech
Multi-tenant on GKE with per-customer BigQuery datasets. Cost per customer is invisible without labels.
They ask
“Cost per customer using the customer_id label for the last quarter?”
Media & Streaming
Heavy BigQuery usage for analytics + Cloud CDN for delivery. Optimizing both at once is nobody's full-time job.
They ask
“Top 10 BigQuery queries by cost and top 10 egress buckets this week?”
FinTech & Banking
Strict compliance: CIS GCP Foundations, SOC 2, and IAM least-privilege. Evidence gathering for audits is manual.
They ask
“CIS GCP Benchmark compliance by project with open gaps?”
Healthcare
HIPAA-scoped projects with CMEK and VPC Service Controls. Evidence for annual audit spans multiple dashboards.
They ask
“Are all HIPAA-labeled buckets using CMEK, VPC-SC, and private endpoints?”
Retail & E-commerce
Peak-season GKE and Cloud Run scaling drives unexpected cost surges. Post-event analysis is manual.
They ask
“Which services spiked above 3x baseline during the last sale weekend?”
EdTech & Education
Per-class BigQuery datasets and Looker usage. Course-level cost attribution and ROI is hand-maintained.
They ask
“BigQuery cost by course_id label for the last term?”
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