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How It Works
A cloud SLA sets a measurable commitment, most commonly expressed as a percentage of monthly uptime, such as 99.9% or 99.99%. When a provider falls below that threshold, the customer becomes eligible for a credit against future invoices. The credit amount is typically calculated as a percentage of the monthly fee for the affected service, scaled to how far the actual uptime fell short of the guarantee. AWS, Azure, and GCP each publish SLAs at the individual service level, so the agreement covering compute may differ from the one covering managed databases or storage. Customers must actively monitor their environment and file claims within the window specified in the contract to receive those credits. See What Is Cloud Cost Governance: Framework, Best Practices, and KPIs.
Why It Matters for Cloud Cost
An SLA directly affects budget predictability and vendor accountability. A weak SLA with low uptime commitments or minimal credit remedies shifts financial risk onto the customer: any outage translates into lost revenue or productivity without meaningful compensation from the provider. Finance and engineering teams use SLA terms during vendor selection and contract negotiation to understand the true cost of a service beyond its listed price. When an SLA breach occurs, the resulting SLA credits reduce the effective cost of cloud spend for that period, which affects how actual savings and cost baselines are reported. Understanding SLA terms also informs which workloads are appropriate for lower-cost options such as spot or preemptible instances, which carry no uptime guarantees at all.
ClearCost provides visibility and showback reporting across AWS, GCP, and Azure, so teams have an accurate view of actual cloud spend.