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finops-review

Identify and annotate cloud cost implications of architectural decisions. Use when reviewing infrastructure changes or designing new services.

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Works withAWS
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SKILL: FinOps Review

Purpose

Identify and annotate the cloud cost implications of architectural decisions.

Cost Driver Categories

Compute

  • Lambda/Functions: invocation count x duration x memory
  • EC2/VMs: instance type x hours + data transfer
  • Containers: CPU/memory reservation x hours
  • Edge functions: request count x execution time

Storage

  • Object storage (S3/GCS/Blob): GB stored + requests + egress
  • Database: instance size + storage + IOPS + backups
  • Cache: node size x hours

Networking

  • Egress: GB transferred out (most expensive)
  • CDN: requests + GB served
  • Load balancer: hours + LCU

Third-party APIs

  • Stripe: 2.9% + $0.30 per transaction
  • Supabase: row reads/writes, storage, Edge Function invocations
  • Vercel: bandwidth, function invocations, seats

Annotation Format (Terraform)

resource "aws_db_instance" "main" {
  # finops: ~$180/mo (db.t3.medium, 100GB gp3, 1 AZ)
  # finops: scale-trigger: >70% CPU or >80% storage
  instance_class = "db.t3.medium"
  ...
}

Architecture Review Questions

  1. What scales with user count? What scales with data volume?
  2. Are there N+1 API calls that will cost $$ at scale?
  3. Is egress minimized? (Cache aggressively, colocate services)
  4. Are reserved instances/savings plans applicable?
  5. What is the cost at 10x current load?

Monthly Estimate Template

## Cost Estimate: {Feature}

| Service | Config | Est. Monthly |
|---------|--------|-------------|
| RDS PostgreSQL | db.t3.medium, 100GB | $180 |
| ElastiCache Redis | cache.t3.micro | $25 |
| ECS Fargate | 2 tasks, 0.5 vCPU, 1GB | $30 |
| ALB | 1 ALB, ~1M requests | $20 |
| **Total** | | **~$255/mo** |

Scales linearly with: [traffic volume / data volume]

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