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gcp-finops

Skill4 starsChanged 5 months agoMITView on GitHub

GCP cost engineering and financial operations. Analyze billing, optimize resources, manage budgets, reduce spending. Use when discussing GCP costs, budget optimization, pricing decisions, cost analysis, or spend management.

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SKILL.md

GCP FinOps

Cost engineering and financial operations patterns for Google Cloud Platform.

Note: Pricing estimates are approximate and based on us-central1 region. Use the GCP Pricing Calculator for current rates.

Cost Optimization Framework

The FinOps Cycle

    ┌─────────────┐
    │   INFORM    │ ← Visibility into spending
    │  (analyze)  │
    └──────┬──────┘
           │
    ┌──────▼──────┐
    │  OPTIMIZE   │ ← Right-size, eliminate waste
    │  (reduce)   │
    └──────┬──────┘
           │
    ┌──────▼──────┐
    │   OPERATE   │ ← Maintain efficiency
    │  (control)  │
    └─────────────┘

Quick Cost Reference

Compute (Cloud Run)

Config	Cost/hour	Monthly (24/7)	Use Case
0.5 vCPU, 256MB	$0.0144	$10.50	Minimal API
1 vCPU, 512MB	$0.0324	$23.60	Standard API
2 vCPU, 1GB	$0.0648	$47.20	Heavy processing

Key insight: Scale-to-zero saves 80-95% for variable workloads.

GPU Instances (Cloud Run with L4)

Config	Cost/GPU-sec	GPU Cost/hour	GPU Monthly (24/7)	Use Case
4 vCPU, 16GB + L4 (min)	$0.0001867	~$0.67	~$490	Light GPU inference
8 vCPU, 32GB + L4 (rec)	$0.0001867	~$0.67	~$490	Production GPU inference

Note: Table shows GPU cost only. vCPU/memory charges are additional (see Compute table above). Total cost for 8 vCPU/32GB + L4 is ~$0.67 GPU + ~$0.19 vCPU/mem = ~$0.86/hr.

Key constraints:

Minimum instance spec: 4 vCPU / 16 GiB RAM (hard GCP requirement)
Recommended: 8 vCPU / 32 GiB RAM for production workloads
Cold start penalty: 20-40s (GPU initialization)
Min-instances break-even: ~2,700 jobs/month justifies keeping 1 instance warm
GPU billing is per-second ($0.0001867/GPU-sec), vCPU/memory billed separately

Caution: Agent-generated GPU cost estimates are frequently wrong (e.g., confusing $/hr with $/min — a 60x error). Cross-check against Cloud Run pricing before committing to a budget — unverified estimates have shipped with 60x errors that made the FinOps recommendation actively harmful.

Database (Cloud SQL)

Tier	Monthly	RAM	Best For
db-f1-micro	$16	0.6GB	Dev only
db-g1-small	$28	1.7GB	Staging
db-standard-1	$68	3.75GB	Small prod
db-standard-2	$136	7.5GB	Medium prod

Key insight: +35% for HA (REGIONAL).

Cache (Memorystore Redis)

Pricing model: $0.049/GB/hour (BASIC tier, us-east4)

Size	BASIC	STANDARD_HA
1GB	~$35/mo	~$70/mo
2GB	~$72/mo	~$144/mo
5GB	~$180/mo	~$360/mo

Key insights:

2x cost for HA (STANDARD_HA), but includes automatic failover
Pricing is hourly: $0.049/GB/hour x 730 hours/month = ~$35.77/GB/month
Custom sizes available: 1GB minimum, 300GB maximum (BASIC tier)
Region variations: us-east4 typically cheapest, check calculator for others

Cost calculation formula:

Monthly cost = Memory_GB x $0.049/hour x 730 hours/month x HA_multiplier

Where:
  HA_multiplier = 1.0 (BASIC) or 2.0 (STANDARD_HA)

Example: 2GB STANDARD_HA
  = 2 x $0.049 x 730 x 2.0
  = $143.08/month

Right-Sizing Decision Matrix

Current State	Recommendation	Savings
CPU <10% utilization	Downsize tier	30-50%
Memory <30% used	Reduce RAM allocation	20-40%
Scale-to-zero disabled	Enable for dev/staging	80-95%
HA in staging	Disable HA	26-35%
SSD in staging	Switch to HDD	47%

Budget Alert Thresholds

Threshold	Action	Audience
50%	Informational	Team
75%	Review spending	Tech Lead
90%	Reduce non-essential	Team Lead
100%	Emergency review	Management

See reference.md for detailed pricing research methods and optimization patterns.

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