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finops-intelligence

Comprehensive FinOps analysis combining cost optimization, waste identification, and chargeback reporting. Use when asked about reducing Azure spend, finding unused resources, cost per team, chargeback, showback, or cost anomalies.

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Dépôt
Azure/sre-agent-plugins
Dernière activité de la source
21 août 2026 à 18:53
Langue détectée de SKILL.md
anglais
Étoiles
5
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11

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SKILL.md
Instructions source · Aperçu en lecture seule
name
finops_intelligence
description
Comprehensive FinOps analysis combining cost optimization, waste identification, and chargeback reporting. Use when asked about reducing Azure spend, finding unused resources, cost per team, chargeback, showback, or cost anomalies.
# FinOps Intelligence ## Purpose Unified cost intelligence skill that identifies savings opportunities, tracks cost trends, and generates chargeback/showback reports by team or project. ## Procedure ### Step 1: Cost trend overview ```bash az costmanagement query --type ActualCost --timeframe MonthToDate \ --scope "subscriptions/<sub-id>" \ --dataset-aggregation '{"totalCost":{"name":"Cost","function":"Sum"}}' \ --dataset-grouping name="ServiceName" type="Dimension" -o table ``` Summarize: total spend this month vs. last month (% change), top 5 services by spend, spending anomalies (day-over-day spikes > 20%). ### Step 2: Orphaned resources (waste) | Check | Command | |-------|---------| | Unattached disks | `az disk list --query "[?managedBy==null]"` | | Unused public IPs | `az network public-ip list --query "[?ipConfiguration==null]"` | | Stopped-but-allocated VMs | `az vm list -d --query "[?powerState=='VM deallocated']"` | | Unused App Service plans | `az appservice plan list --query "[?numberOfSites==0]"` | ### Step 3: Rightsizing Identify VMs with < 5% avg CPU (14 days), App Service plans with < 20% utilization, databases with < 20% DTU/vCore. Calculate current vs. recommended SKU cost. ### Step 4: Reservation opportunities List VMs and databases running 24/7 for 30+ days as candidates for Reserved Instances (up to 72% savings). ### Step 5: Storage optimization ```bash az storage account list --query "[].{name:name, accessTier:accessTier, kind:kind}" -o table ``` Identify blobs not accessed in 90+ days (candidates for Cool/Archive). Check lifecycle policies. ### Step 6: Cost allocation (chargeback) Group costs by the user's chosen tag (cost-center, owner, team, application). Track untagged resources as "Unallocated." For each team: this period vs. previous, top cost driver, flag anomalies > 30% increase. ## Sample output | Field | Value | |-------|-------| | Subscription | contoso-prod-001 | | Total Spend (MTD) | $12,340 | | MoM Change | +$1,700 (+11.5%) | | Waste Identified | ~$1,179/month | | Category | Savings/mo | Priority | |----------|------------|----------| | Orphaned resources | $52 | High | | Rightsizing | $315 | High | | Reservations | $864 | Medium | | **Total recoverable** | **~$1,179** | | ## References - Cost Management: https://learn.microsoft.com/en-us/azure/cost-management-billing/costs/overview-cost-management - Azure Advisor Cost: https://learn.microsoft.com/en-us/azure/advisor/advisor-cost-recommendations - Reserved Instances: https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/save-compute-costs-reservations
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