AI and ML teams run critical workloads in the cloud, yet outages still occur and impact customers. Therefore, SLAs set promises, define how to measure them and establish remedies when providers miss targets. At its core, an SLA is a contract with explicit consequences tied to defined targets and measurements. Therefore, it differs from internal goals that carry no external remedy.
Moreover, the financial stakes are clear. In 2025, 55% of operators said their most impactful recent outage cost $100,000 or more, including 18% exceeded $1 million. These figures explain why executives must understand what SLAs actually guarantee, how credits work and what evidence the team must collect during incidents to claim remedies. Let’s get started!
What is a Service Level Agreement in Cloud Computing?
An SLA is a contractual promise that a provider will meet defined service levels such as availability, response time or durability. It also describes remedies if the provider fails to meet those levels. As a result, you can evaluate risk and align expectations with business impact.
SLAs are scoped per service and per region or zone. They include precise definitions of downtime, measurement windows and exclusions. For example, at AceCloud, our Service Level Agreement targets 99.99%* monthly uptime.
How SLAs Differ from SLOs and SLIs?
This distinction matters because teams often mislabel internal targets as contracts. We recommend you align internal SLOs and SLIs with any external SLA to avoid surprise breaches.
- An SLA (Service Level Agreement) is a contract that includes consequences.
- An SLO (Service Level Objective) is the target.
- An SLI (Service Level Indicator) is the metric you measure.
Google SRE’s rule-of-thumb says: “Ask what happens if SLOs aren’t met; if no explicit consequence, it is almost certainly an SLO.”
If there is no service credit or other explicit consequence, you are not looking at an SLA. You are looking at an objective you set to guide engineering priorities and product decisions.
What Major Cloud Service Level Agreement Delivers Today?
You should read each provider’s SLA tables carefully, since targets, credits and definitions vary by architecture and region. The examples below illustrate typical patterns.
AceCloud
AceCloud markets a 99.95%* uptime SLA for core compute, with the SLA applied per service rather than across a bundled stack. These are the monthly availability targets for Spot Instances, Storage as a Service, Firewall as a Service and Load Balancer Service. The SLA also clarifies that credits apply only to the affected service and exclude the website, DNS, API and control panel.
AWS
AWS offers a Region-Level SLA of 99.99% monthly uptime when workloads run concurrently across two or more AZs in a region. Credits scale to 10%, 30% or 100% of the monthly bill for the affected region based on uptime shortfall bands.
Google Compute Engine
GCE’s Premium Tier sets ≥99.99% for instances placed across multiple zones. Financial credits are 10%, 25% or 100% of the monthly bill for the affected service in that region, depending on the uptime band. Standard Tier targets differ.
Microsoft Azure
Azure markets 99.99% VM uptime when you deploy across availability zones and 99.95% when you use availability sets. Check regional support for zones before assuming eligibility.
Note: More than half of operators experienced an outage in the last three years, which reinforces why provider-specific fine print and architecture prerequisites matter.
How to Translate“Nines” into Visible Downtime?
You will make better decisions when abstract percentages become minutes. For that, convert nines into time windows during planning and reviews.
| Availability (SLA) | Max downtime/year (avg-year precise) |
|---|---|
| 99% | 3d 15h 39m 36s |
| 99.9% | 8h 45m 58s |
| 99.95% | 4h 22m 59s |
| 99.99% | 52m 36s |
| 99.999% | 5m 16s |
Roughly, 99.9% allows about 8 hours per year. 99.99% allows about 52 minutes per year. 99.999% allows about 5 minutes per year.
At 99.99% availability, you have about 4 minutes 23 seconds of permissible downtime per month. You should track this allowance against your error budget and maintenance windows.
What Remedies, Exclusions and Claim Windows SLAs Include?
Understanding remedies and timelines prevents lost credits. Therefore, document who files claims, what logs to capture and how to timestamp outages.
Service credits, not refunds
Providers issue service credits applied to future bills. AWS notes credits may be applied only against future EC2 payments and generally do not constitute refunds. Minimal thresholds can apply.
Claim windows matter
AWS requires credit requests by the end of the second billing cycle after the incident and asks for timestamps, resource IDs and corroborating logs. Google requires notifying support within 60 days and submitting logs that show downtime periods.
Common exclusions
Expect exclusions for force majeure, Internet issues beyond the provider’s demarcation point, customer misconfiguration and preview features. These exclusions appear in the compute SLAs themselves.
GCE credits can scale to 100% of the affected monthly bill when monthly uptime drops below 95% under the Premium or Standard tiers.
How to Measure and Report SLA Compliance?
We recommend setting a simple, repeatable reporting loop that aligns SLOs with user experience and tracks burn against your error budget.
Define SLIs tied to user experience
Measure availability, latency, error rate and throughput as proportions of valid events that were good. Express SLIs on a 0% to 100% scale for clarity and consistent tooling.
Use error budgets
Define an SLO such as 99.99% monthly availability. The error budget is 100% minus that target. Track budget burn to decide when to slow feature delivery and prioritize reliability work. Google’s SRE workbook provides templates and policies.
How do Architecture Choices Change Service Level Agreement?
Eligibility often depends on how you deploy. Therefore, design for the higher tier if your business requires it.
- Providers commonly require spreading instances across zones to qualify for 99.99% availability, as AWS and Google specify in their compute SLAs.
- Targets can vary by network tier and by region. Google documents different targets and credit tables for Premium vs Standard tiers and for certain regions.
- Azure availability zones are positioned to support a 99.99% VM uptime SLA when used correctly, while availability sets support 99.95%.
Key Takeaway on Service Level Agreement
There you have it. We have covered everything you need to know about Service Level Agreements. However, we highly recommend you consult with your cloud service provider to confirm their SLAs and how they use it to architect for multi-zone eligibility.
Moreover, be ready to file claims with timestamps, IDs and logs. Every four in five operators say their most recent significant outage was preventable through better process or configuration, so pair SLAs with disciplined operations and evidence-ready incident management.
Book your free consultation with our cloud experts to understand how SLAs work and how AceCloud improves uptime for your specific use case!
Frequently Asked Questions:
A contract that includes explicit consequences for missing defined service levels, unlike internal targets.
SLA P1, P2, P3 and P4 are incident priority levels in a service agreement: P1 is critical with full outage or severe impact and needs immediate 24×7 response, P2 is high with major degradation and fast response within hours, P3 is medium with limited impact or a workaround and resolution in business days, P4 is low for minor issues or info requests handled in the next release.
About 4 minutes 23 seconds of downtime per month, which should be tracked against your error budget.
Typically, no. Providers issue service credits applied to future invoices, subject to thresholds and timelines.
Yes. Higher targets like 99.99% usually require spreading instances across zones within a region.
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