Why
Manual commitment management at scale is error-prone and time-consuming. Automation tools continuously analyse usage patterns and execute purchases at optimal timing, capturing savings that manual reviews miss. However, automated purchasing without guardrails can over-commit.
What
Evaluate and deploy a commitment management tool — cloud-native or third-party — that recommends and/or executes purchases with appropriate approval thresholds.
How
Evaluate Options
| Category | Tools | Pros / Cons |
|---|---|---|
| Cloud-native | AWS RI/SP Purchase Recommendations, Azure Advisor Reservations, GCP CUD Recommender | Free, integrated. Limited cross-cloud view. |
| Third-party | ProsperOps, Zesty, Spot by NetApp, CloudHealth | Cross-cloud, automated execution. License cost. |
| Hybrid | Cloud-native recs + manual execution with FinOps review | Lowest risk. Most manual effort. |
Define Guardrails
| Guardrail | Setting |
|---|---|
| Maximum single purchase | $X/month (e.g., $10K) |
| Maximum total commitment | X% of current spend (e.g., 70%) |
| Approval required above | Threshold (e.g., >$5K requires Finance) |
| Term restriction | 1-year only until process is mature |
Deploy and Monitor
Start in recommendation-only mode. Review recommendations for 1 month. If accuracy is satisfactory, enable auto-execution within guardrail limits. Monitor ESR weekly for the first month.
Deliverable Checklist
- Tool options evaluated against criteria
- Guardrails defined (max purchase, max commitment, approval thresholds)
- Tool deployed in recommendation-only mode
- 1-month observation period completed
- Auto-execution enabled (if appropriate) within guardrails