Scaling FinOps with a holistic approach to resource optimization
summary
Cloudability and Turbonomic integrations show concrete wins: Hyland runs 23,000 servers and 35 PB, uses Turbonomic to automate placement and resizing (18,000 on‑prem and 10,000 AWS scaling actions), recovers 13 TB memory and 7,000 CPU cores, defers ~60 ESXi hosts (~$3.6M CapEx), and reports ~$3M in AWS Opex reductions by deleting unattached EBS volumes, rightsizing instances and automating schedules for 13,000 EBS volumes to reach 99.99% optimized capacity.
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chapters (10)
- 0:00Introduction
- 1:00Finops foundation
- 3:17Cloud challenges
- 4:15Hybrid cloud strategy
- 13:10On-premise optimization
- 16:31Case study: Highland Software
- 21:15Kubernetes optimization
- 28:58Public cloud optimization
- 39:21Automation benefits
- 43:02Unit economics and conclusion
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