Well-Architected Framework: Cost Optimization
summary
Azure Advisor shows two concrete cost levers: automated rightsizing that compares 30‑minute max samples over the last seven days, uses P95 CPU / P100 memory heuristics and classifies workloads by waveform to pick a smaller SKU that meets strict targets (user‑facing: 40% CPU / 60% memory, non‑user: 80%), and reserved instance simulations that evaluate hourly usage over 7/30/60 days, choose a quantity that maximizes savings (prefer 3‑year pricing, fall back to 1‑year) and applies discounts automatically to matching VMs.
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chapters (10)
- 0:00Introduction
- 2:26Buckets
- 5:28Targets
- 7:01Recommendations
- 9:50Second Recommendation
- 10:20Azure Reservations
- 11:33Data Points
- 12:33Recommendation Engine
- 13:48How to get recommendations
- 14:31Wrapup
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