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💰 FinOps & Cost Optimization

Turn cloud spend into a strategic advantage

Achieve full cost visibility, accurate allocation, and continuous optimization across infrastructure, observability, and people costs. Each section maps discovery questions to implementation patterns that have delivered $8M+ in verified savings.

Discovery Questions

  • How is cloud cost data ingested and processed (CUR, billing exports)?
  • What percentage of spend is accurately tagged and allocated?
  • How do teams view their own cost data (dashboards, reports, alerts)?
  • Are showback or chargeback models in place?
  • How frequently is cost data refreshed and reviewed?
  • What governance exists for tagging standards and enforcement?

Evidence to Collect

  • CUR pipeline architecture
  • Tagging policy documentation
  • Cost dashboards and reports
  • Allocation accuracy metrics

Implementation Patterns

CUR Pipeline Architecture

Build scalable pipelines to ingest, transform, and query AWS Cost and Usage Reports at scale.

AWS AthenaS3GlueDatabricksSnowflake
Steps
  1. Enable CUR exports to S3 with hourly or daily granularity.
  2. Set up Glue crawlers or Athena tables for queryable cost data.
  3. Build transformation jobs to normalize and enrich with business context.
  4. Create dashboards for team-level and service-level cost views.
  5. Automate anomaly detection alerts for spend spikes.

Tagging Governance Program

Enforce consistent tagging across accounts and resources for accurate allocation.

AWS ConfigTag PoliciesOPATerraform
Steps
  1. Define mandatory tags (cost-center, team, environment, service).
  2. Implement tag policies at the organization level.
  3. Run compliance scans and report on untagged resources.
  4. Integrate tag enforcement into CI/CD and IaC pipelines.
  5. Track allocation accuracy and target 99%+ coverage.