Great conversation with ALEX KUAN (FinOps Lead, Arlo) on how to make long-term AWS commitments flexible instead of fragile. Highlights: - When “savings” stop saving: Long-term cloud discounts can backfire when usage patterns shift, locking teams into rigid spending. - Arlo’s playbook: Commit to your baseline usage, not the peaks. Cover predictable workloads first, then layer flexible commitments that adapt to changing demand. - 3-phase approach: Seed → Grow → Harvest — start small, scale coverage as patterns stabilize, and adjust as the business evolves. - Automation as leverage: Continuous monitoring ensures that every dollar committed is actually utilized, turning cost management into a measurable ROI engine. Common questions from the session: 1. How to balance simplicity and flexibility? (Use fixed commitments for the stable 80–90% of workloads, flexible ones for the rest.) 2. What’s the biggest risk? (Overcommitting. Start with data, not guesses — then expand as visibility improves.) 3. When to evolve your strategy? (Once your teams can forecast with confidence, it’s time to introduce flexible, data-driven automated commitment management.) Replay is available: https://lnkd.in/guFmitv4 If you’d like to benchmark your own commitment efficiency, DM me. #FinOps #CloudCostOptimization #AWS #EngineeringLeadership #CFO #CloudStrategy #nOps
How to make AWS commitments flexible, not fragile, with Arlo's playbook
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