#resource-optimization

Implement FinOps practices for cloud cost optimization through automated monitoring, rightsizing, and resource governance. Cost monitoring automation: 1. Billing alerts: budget thresholds (80%, 90%, 100%), department-level tracking, project-based allocation. 2. Resource tagging: mandatory tags for cost center, environment, owner, automated tag compliance. 3. Usage tracking: idle resources detection, zombie instances, over-provisioned services. Right-sizing strategies: 1. Instance optimization: CPU/memory utilization analysis, recommendation engine, automated resizing. 2. Storage optimization: unused volumes, snapshot cleanup, storage type optimization (GP2 to GP3). 3. Database optimization: connection pool sizing, read replica necessity, reserved capacity planning. Reserved capacity management: 1. Reserved instances: 1-3 year commitments for predictable workloads, savings up to 75%. 2. Spot instances: fault-tolerant workloads, automated spot fleet management, cost savings 60-90%. 3. Savings plans: compute savings plans, flexible usage commitments. Cost governance: 1. Policy enforcement: instance type restrictions by environment, automatic shutdown schedules. 2. Approval workflows: large resource requests, budget variance approvals, cost center authorization. 3. Chargeback models: department billing, project cost allocation, transparent pricing. Automation tools: 1. AWS Cost Explorer: usage patterns, cost forecasting, rightsizing recommendations. 2. CloudHealth: multi-cloud cost management, governance policies, optimization recommendations. 3. Kubernetes cost tools: KubeCost for container cost allocation, resource efficiency tracking. Financial reporting: monthly cost reviews, trend analysis, ROI calculations, cloud vs on-premises comparisons.