AWS Cost Optimization Checklist for Teams

Direct answer: Start AWS cost optimization by reviewing billing by service, account, region, and tag; investigate the largest changes; then validate idle resources, sizing, storage lifecycle, and data transfer. Test each change against availability and security requirements before applying it.

1. Establish a trustworthy cost baseline

Choose a review period and compare it with a relevant prior period. Use cost allocation tags and account boundaries where available. Separate one-time migration or testing activity from ongoing usage, and identify workloads whose owner or purpose is unclear.

2. Investigate high-cost and changing services

Sort spending by service and inspect unexpected increases. Review compute hours, database capacity, storage growth, logs, snapshots, and network transfer. A high bill is a signal to investigate, not proof that a resource is wasteful.

3. Check for idle or oversized resources

• Confirm ownership before stopping unattached or low-activity resources.
• Compare compute and database utilization with workload patterns.
• Review autoscaling and non-production schedules.
• Measure performance and availability before downsizing production systems.

4. Review storage, logs, and data transfer

Check retention and lifecycle rules for object storage, snapshots, and logs. Validate that required backups and audit data remain available. Examine cross-region and internet egress patterns; architectural changes may reduce transfer but should be tested for resilience.

5. Evaluate discounts after the workload is understood

Commitment-based options may reduce eligible compute costs but introduce utilization and term considerations. Estimate stable baseline usage first, understand coverage and flexibility, and compare the commitment with on-demand costs. Do not purchase commitments to compensate for unknown or volatile usage.

6. Assign owners and repeat

Record the proposed action, expected effect, risk, approver, and validation result. Revisit the baseline after changes and review costs regularly. Keep service owners involved so optimization does not remove capacity or safeguards the workload requires.

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Frequently asked questions

Should a team always buy reserved capacity?

No. First understand stable demand, eligibility, utilization, and commitment terms. A discount can cost more than on-demand usage if the workload changes or the commitment is underused.

Is an idle resource safe to delete?

Not until an owner confirms its purpose, dependencies, recovery requirements, and retention obligations. Validate a proposed removal in a safe environment where possible.

How often should AWS costs be reviewed?

Review costs on a cadence matched to usage volatility and business controls, and investigate material changes promptly. Assign service owners so unusual spend has context.