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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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