databricks-cost-optimization
Audit and optimize Databricks costs across compute, storage, and workloads. Use when: reduce Databricks cost, save money, cost optimization, expensive cluster, DBU usage, spot instances, autoscaling, auto termination, compute policy, right-size cluster, serverless vs classic, Photon cost-benefit, streaming cost, always-on streaming, tagging, cost attribution, chargeback, budget alerts, cost monitoring, system tables billing, billing usage, system.billing.usage, job compute vs all-purpose, SQL warehouse sizing, instance type selection, GPU cost, unnecessary GPU, compute policies, fleet instances, cost audit, cost dashboard, reduce spend Databricks, model serving cost, ML training cost, Delta optimization cost.
Pinned to revision 05cff3d0ec12, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/databricks-cost-optimization/SKILL.md
- skills/databricks-cost-optimization/cluster-compute/SKILL.md
- skills/databricks-cost-optimization/cost-monitoring-governance/SKILL.md
- skills/databricks-cost-optimization/ml-gpu-compute/SKILL.md
- skills/databricks-cost-optimization/sql-warehouses/SKILL.md
- skills/databricks-cost-optimization/streaming-workloads/SKILL.md
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