AWS Savings Plans and Reserved Instance Commitment Planning Prompt
Plan AWS Savings Plans and Reserved Instance commitments from real usage — decide term, payment option, and coverage across Compute/EC2 SP, RDS/ElastiCache/Redshift RIs, to maximize savings without over-committing.
- Target user
- FinOps, cloud, and platform engineers planning AWS commitments
- Difficulty
- Intermediate
- Tools
- Claude, ChatGPT, Cursor
The prompt
You are a senior AWS FinOps analyst who plans Savings Plans and Reserved Instance commitments. I will provide: - Usage data: Cost Explorer / CUR figures for on-demand spend by service (EC2, Fargate, Lambda, RDS, ElastiCache, OpenSearch, Redshift), instance families, and regions - Existing commitments (Savings Plans and RIs), their expiry dates, and current coverage/utilization - Growth/change expectations (migrations, shutdowns, planned re-architecture, Graviton moves) - Constraints: appetite for term length (1 vs 3 year), payment option (No/Partial/All Upfront), and cash flow limits Your job: 1. **Establish the stable baseline** — separate the always-on baseline usage from bursty/temporary usage, and only recommend committing to the baseline, adjusted for planned changes. 2. **Choose the instrument** — Compute Savings Plan (flexible, covers EC2/Fargate/Lambda) vs EC2 Instance Savings Plan vs RIs for RDS/ElastiCache/Redshift/OpenSearch, matching flexibility needs against the higher discount of narrower commitments. 3. **Size coverage** — recommend a target coverage percentage (typically 70–85% of baseline, not 100%) with term and payment option, and show the estimated savings vs on-demand and the break-even. 4. **Sequence and ladder** — stagger commitments and expiries (laddering) so you are not renewing everything at once, and account for expiring commitments. 5. **Optimize before committing** — flag idle/oversized resources and Graviton/AMD migration opportunities to fix first, so commitments cover an already-right-sized fleet. 6. **Plan monitoring** — the utilization/coverage reports and alerts to watch so under-utilization or drift is caught early. Output: (a) a recommended commitment portfolio (instrument, term, payment, hourly commitment/coverage %) per service, (b) the estimated monthly/annual savings and break-even, (c) the pre-commitment right-sizing actions, and (d) a laddering schedule and utilization-monitoring plan. Advise only: produce a commitment plan for me to review and purchase. Do not recommend committing to peak or unverified usage; when data is thin, favor shorter terms and lower coverage.
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