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Active BQ Export:
argolis-finops-hub-14419.finops_billing_analytics.gcp_billing_export_v1
Month-to-Date Spend
$12,450.00
Month-End Forecast
$14,290.00
Potential Recommender Savings
$2,180.50/mo
FinOps Cloud Health Score
88%
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Daily Cost Trend
(Jul 26 - Aug 25, 2026)
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Cost by Cloud Service
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Top Priority Recommender Actions
View All (12)
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FinOps Maturity & Compliance
Score: 88/100
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BigQuery Detailed Billing Export enabled
Dataset:
htr-billing-analytics.gcp_billing_export_v1
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Mandatory tag policy for
env and team
94% resource coverage compliant with Org Policy
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Unattached storage volume cleanup automation
5 unattached disks currently accumulating charges
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Committed Use Discount (CUD) coverage threshold
Current CUD coverage: 61% (Recommended target: 80%)
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Google Cloud Services Breakdown
| Service unfold_more | Project ID unfold_more | Primary Region | Usage Amount | Cost (USD) unfold_more | % Share | Trend (30d) | Action |
|---|---|---|---|---|---|---|---|
| Total | $12,450.00 | 100.0% | |||||
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Spend by Google Cloud Region
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Spend by Project
savings
Google Cloud Recommender Hub
Total Potential Savings:
+$2,180.50 / mo
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Active Budgets (August 2026)
Production Overall Budget
Scope: Projects (htr-prod-service, htr-k8s-cluster)
Current Spend: $12,450.00
Target Budget: $15,000.00
50% ($7,500) Triggered Aug 12
80% ($12,000) Triggered Aug 23
100% ($15,000) Safe
BigQuery Analytics Budget
Scope: Project (htr-analytics-prod)
Current Spend: $1,580.00
Target Budget: $3,000.00
50% ($1,500) Triggered Aug 22
80% ($2,400) Safe
100% ($3,000) Safe
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Alert Notifications
Email Recipients
imedtra@google.com, finops-team@htr.com
Slack #cloud-finops-alerts
Webhook configured for 80% & 100% spikes
Pub/Sub Auto-Disabler
Auto-stops non-prod sandbox VMs at 100%
database
BigQuery Cost & Usage SQL Studio
Sample Queries:
Query Results (4 rows returned in 280ms)
Gemini Cloud FinOps Copilot
GCP Enterprise AI
Trained on Google Cloud Architecture Framework & FinOps Foundation
Hello imedtra! I am your Gemini Cloud FinOps Copilot.
I have analyzed your billing export tables, resource inventories, and Google Cloud Recommender metrics for account gcp-htr-prod-8841. Here is what you should know today:
- Your 30-day spend is $12,450.00, with $2,180.50/mo in potential savings.
- GKE Node Pool auto-scaling in
htr-k8s-clusteris running at 18% CPU, which can save $820/mo. - 5 unattached standard SSD disks were detected in
htr-dev-service($310/mo waste).
Ask me any question or click a prompt chip below to optimize further!
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FinOps Hub Configuration