The Main Cost Optimization Levers
3 entriesCloud cost optimization works through a few repeatable levers. Rightsizing matches instance and database sizes to actual use. Commitments such as savings plans, reservations and committed use discounts lower the rate in exchange for a usage commitment. Spot or preemptible capacity trades interruption risk for lower prices on fault-tolerant work. Scheduling and cleanup stop idle resources outside working hours and remove unused ones. Storage and data transfer choices, such as lifecycle tiering and avoiding avoidable egress, often matter as much as compute. Autoscaling adjusts capacity to demand. Budgets and anomaly alerts catch surprises early, and pre-deployment cost estimates in infrastructure-as-code reviews prevent them. Each cloud provider offers native tools for these levers, and third-party platforms add automation and multicloud views. The right order is usually to find waste first, rightsize, then commit to the stable baseline.
Rightsizing & Recommendations
7 entriesFind oversized and idle resources.
Commitment Discounts
7 entriesLower the rate for steady workloads.
Spot & Preemptible Capacity
5 entriesCheaper capacity for interruptible work.
Scheduling, Cleanup & Governance
4 entriesStop paying for idle resources.
Storage & Data Transfer
4 entriesTier cold data and trim egress.
Autoscaling
4 entriesMatch capacity to demand.
Budgets, Anomalies & Estimates
7 entriesCatch cost surprises early.
Optimization Platforms
7 entriesThird-party tools that analyze and automate.
Well-Architected Cost Guidance
4 entriesProvider architecture guidance on cost.
Related Pages
6 entriesNeighbouring pages on this site.
Frequently Asked Questions
What is cloud cost optimization?
Reducing cloud spend without hurting performance or reliability, by finding waste, rightsizing resources, choosing the right pricing models, scheduling and cleaning up idle resources, and designing for cost.
Where should I start?
Make costs visible and allocated first, remove idle and unattached resources, rightsize oversized instances, then commit to the stable baseline with savings plans or reservations. Use anomaly alerts to catch surprises.
Are spot instances safe for production?
They can be, for fault-tolerant, stateless or batch workloads designed to handle interruptions. Avoid them for workloads that cannot tolerate sudden loss of capacity unless you have fallbacks.
Do I need a third-party tool?
Native AWS, Azure and Google Cloud tools cover many levers. Third-party tools help with multicloud views, deeper allocation and automation. Compare their results with the native recommendations on your own bill.
How does this page differ from the FinOps Tools page?
This page is organized by optimization lever and tool. The FinOps Tools page covers the FinOps practice, standards such as FOCUS, native billing tools and platforms for allocation and reporting.
How current is this page?
Links and project activity were checked in October 2026. Cloud pricing programs, tool names and ownership change often, and vendor descriptions summarize each vendor's own materials rather than independent evaluations. Sites that block automated checks are kept and may need a manual click.