Cost Optimization for Big Data Workloads — Big Data Processing & Lake…
Controlling compute and storage spend
Steps in Cost Optimization for Big Data Workloads
- Understanding Big Data Workload Costs — beginner · Where compute, storage and data transfer costs actually come from
- Right-Sizing Clusters for Cost — beginner · Avoiding both under- and over-provisioning
- Spot Instances for Big Data Workloads — beginner · Using cheaper, interruptible compute safely for batch jobs
- Storage Tiering and Lifecycle Policies — beginner · Moving cold data to cheaper storage automatically
- Cost Monitoring and Chargeback — beginner · Attributing big data spend back to the teams generating it
Part of
- Big Data Processing & Lakehouse Engineering roadmap — the full learning path