Cloud Cost Optimization Review
A useful cost review connects each recurring charge to a workload and its owner. Start with a complete billing period, usage trends, and the application’s reliability requirements before changing services.
1. Establish a comparable baseline
Group charges by service, environment, and workload. Separate production traffic from previews, development resources, one-off migrations, credits, and taxes. Record request volume, transferred data, storage, database capacity, and build activity for the same period. Compare unit costs as well as the total bill.
2. Find idle resources and unbounded retention
Check unused environments, old snapshots, unattached storage, duplicate databases, inactive domains, and log retention. Confirm the owner and retention requirements before removal. A backup that looks unused may be part of a recovery obligation; record what would replace it before reducing coverage.
3. Trace costs to application behavior
Frequent builds, image transformations, repeated API reads, oversized responses, and cross-region transfers can create costs that infrastructure resizing alone will not solve. For example, compare request counts and cache behavior before lowering database capacity. Measure whether a proposed cache reduces work without serving private or outdated information.
4. Evaluate tradeoffs and verify the result
For each candidate change, record the current monthly cost, expected effect, implementation effort, operational risk, rollback, and owner. Apply a bounded change and compare a similar usage period. A lower bill during a quieter week does not establish an efficiency gain.
5. Keep recovery and budgets visible
Document backup retention, restore checks, monitoring, service quotas, and who receives budget alerts. An alert identifies a threshold; it does not necessarily stop spending. Review the workload again after major releases, traffic changes, or new integrations.
Related Resources
Frequently Asked Questions
What information is needed for a cloud cost review?
A representative billing period, service-level usage, environment ownership, architecture context, and recovery requirements. Share sanitized summaries rather than access credentials or private customer data.
Should the most expensive service be changed first?
Not automatically. A service can be expensive because it does necessary work. Prioritize avoidable waste and measured inefficiency while preserving required reliability and recovery.
How should savings be verified?
Compare similar periods and workload volumes after the change. Include any replacement services and increased operational effort in the assessment.
Need Practical Implementation Help?
Share the current site, stack, constraints, and goal. I will respond with a direct next step or a scoped recommendation.
Contact Terry Hunt