To lower cloud costs without undermining workloads, make optimization a continuous FinOps process: assign spend to the teams and services that drive it, investigate underused or oversized resources, validate provider recommendations against business needs, and measure both actual savings and service outcomes. There is no evidence-based savings percentage that applies to every organization.
1. Make cloud spend visible and assign ownership
Start by organizing costs in a way that lets people act on them: by team, product, service, or workload. Give the teams able to change usage access to relevant cost information, and make clear who is responsible for reviewing it. Without allocation and ownership, a bill can reveal what the organization spent but not who can address the cause.
This is also a leading practitioner concern. The FinOps Foundation’s 2025 survey of its community of large cloud spenders ranked workload optimization and waste reduction as the top priority, followed by full allocation of cloud spending and accurate forecasting. The survey reflects that community, not every cloud user: FinOps Foundation, 2025 State of FinOps.
2. Find waste and inefficient usage
Review usage patterns and provider recommendations for resources that appear unused or larger than the workload requires. Treat a recommendation as a prompt to investigate, not an automatic instruction to make a change. Check the workload’s demand pattern, service requirements, dependencies, and operational risk first.
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AWS describes cost optimization as continuing financial management and recommends an ongoing approach to avoid unnecessary over-provisioning. Its Well-Architected Cost Optimization guidance offers practices for examining cloud costs and usage. Microsoft likewise provides workload cost-optimization guidance that can help teams consider their architecture and usage.
3. Prioritize cost reductions by business value
The goal is not simply to spend less; it is to align resources and spending with the outcomes the organization needs. Google Cloud’s framework recommends aligning cloud spending with business objectives: Google Cloud Well-Architected Framework: Cost optimization.
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Use that principle to rank candidate changes. A reduction that preserves the workload’s required outcome may be worthwhile; one that introduces unacceptable performance, reliability, or operational risk may not be. The right decision depends on the service’s purpose and requirements, not just the size of an estimated saving.
4. Use recommendations from the provider hosting the workload
Start with the provider’s own cost guidance and recommendations for the relevant workload. Each provider’s tools and terminology differ, and a recommendation should be assessed in the context of your usage and billing arrangements.
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| Provider | Where to start | What to keep in mind |
|---|---|---|
| AWS | Well-Architected Cost Optimization guidance | Use it as a structured source of cost-optimization practices; assess recommendations against workload needs. |
| Google Cloud | Cost management recommendations and the FinOps hub | Estimated savings may be based on custom contract prices or list prices depending on contract and access context. They are estimates, not a guarantee of realized savings. |
| Azure | Azure Advisor cost recommendations and Microsoft workload optimization guidance | Review recommendations in relation to the workload and its operational requirements. |
For Google Cloud, the cost management recommendations and FinOps hub are useful starting points, but the estimated savings need pricing context. Google notes that estimates can use custom contract pricing or list pricing depending on the contract and access context. What a recommendation estimates is not necessarily what your organization will save after implementing it.
5. Measure actual results and repeat the review
Before changing a resource or service, establish a baseline for its cost and the service outcomes that matter. After an approved change, compare actual spend with that baseline and check whether the workload still meets its requirements. If cost fell but the service outcome deteriorated, the change may not represent a successful optimization.
Repeat the process on a review rhythm suited to your organization. The cited guidance supports ongoing optimization, but it does not establish one review cadence or savings target for all teams. Set a rhythm and baseline that fit your billing, workloads, and ability to act on findings.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why a universal savings target is misleading
The official guidance and survey findings cited here do not establish a typical cloud-cost reduction percentage that organizations should expect. A credible target requires workload-specific evidence: what is being spent, which resources can change, the applicable contract prices, and the service outcomes that must be preserved. Measure your own approved changes rather than treating an unsourced percentage as a forecast.
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