Cloud FinOps & Multi-Cloud Cost Optimization

• AWS Cost and Usage Reports (CUR), Azure Cost Exports, and GCP BigQuery billing schemas
• Implementing normalized multi-cloud reporting using the FOCUS 1.0 specification
• Enforcing comprehensive organizational tagging policies and cost-center attribution

• Deploying Kubecost and OpenCost for pod, namespace, and label-based cost attribution
• Architecting commitments: Savings Plans vs Reserved Instances (RIs) vs Spot Fleets
• Eliminating unattached EBS volumes, idle NAT Gateways, and untiered S3 storage

• Integrating Infracost into CI/CD pipelines to display pull-request cloud cost diffs
• Defining engineering Unit Economics (Cost per active user, Cost per search transaction)
• Preparing for the FinOps Certified Practitioner (FOCP) exam

Q1: What is the FOCUS (FinOps Open Cost & Usage Specification) standard and why is it important?

FOCUS is an open-source standard created by the FinOps Foundation to normalize billing datasets across cloud providers (AWS, Microsoft Azure, Google Cloud, OCI, and SaaS vendors). Previously, every cloud used different naming conventions (e.g., UnblendedCost vs EffectiveCost, ResourceId vs InstanceName). FOCUS creates a single unified schema so enterprise FinOps teams can query multi-cloud spend with standard SQL without custom ETL translation.

Q2: How do you allocate shared Kubernetes infrastructure costs to different product teams?

You deploy Kubecost/OpenCost, which measures real-time CPU, RAM, GPU, and PV storage requests vs actual usage per namespace and container label. Shared overhead (control plane, monitoring, ingress controllers) is proportionally allocated based on each team's fractional resource consumption.