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SLA4 min read· 762 words

What Is an Azure SLA and Why Is It Important?

Jacob Stålbro
Jacob Stålbro

Head of Innovation

Published: ·Updated: ·Reviewed by Opsio Engineering Team

Quick Answer

Service Level Agreement (SLA) in Azure is a commitment made by Microsoft to provide a certain level of service for its cloud platform. It defines the level of performance, availability, and support that customers can expect from Azure services. SLAs are crucial in ensuring that customers have a clear understanding of the services they are subscribing to and the level of service they can expect from the provider. Azure SLAs cover a wide range of services, including compute, storage, networking, and more. These SLAs are designed to provide customers with assurance that their critical workloads will be available and performant when needed. Azure offers SLAs for both individual services and for the platform as a whole, with different levels of availability and performance guarantees depending on the service. One of the key aspects of Azure SLAs is the uptime guarantee.

Service Level Agreement (SLA) in Azure is a commitment made by Microsoft to provide a certain level of service for its cloud platform. It defines the level of performance, availability, and support that customers can expect from Azure services. SLAs are crucial in ensuring that customers have a clear understanding of the services they are subscribing to and the level of service they can expect from the provider.

Azure SLAs cover a wide range of services, including compute, storage, networking, and more. These SLAs are designed to provide customers with assurance that their critical workloads will be available and performant when needed. Azure offers SLAs for both individual services and for the platform as a whole, with different levels of availability and performance guarantees depending on the service.

One of the key aspects of Azure SLAs is the uptime guarantee. Microsoft guarantees a certain level of availability for each Azure service, typically expressed as a percentage of uptime over a given period, such as 99.9% uptime per month. This means that Microsoft commits to ensuring that the service will be available and accessible for at least 99.9% of the time in a given month. If Microsoft fails to meet this uptime guarantee, customers may be eligible to receive service credits or refunds as compensation.

In addition to uptime guarantees, Azure SLAs also cover performance metrics such as latency and throughput. Microsoft commits to providing certain levels of performance for its services, such as a certain level of network latency or a certain level of storage throughput. These performance metrics are important for ensuring that customers can achieve the desired performance for their workloads running on Azure.

Another important aspect of Azure SLAs is the support guarantee. Microsoft commits to providing a certain level of support for Azure services, such as response times for support requests and availability of support resources. This ensures that customers can get the help they need when facing issues with Azure services, and that Microsoft is committed to resolving any issues in a timely manner.

Overall, Azure SLAs are an important part of the cloud service provider-customer relationship. They provide customers with assurance that they will receive the level of service they expect from Azure, and they hold Microsoft accountable for meeting its commitments. By defining the level of service that customers can expect, Azure SLAs help build trust and confidence in the Azure platform, and they ensure that customers can rely on Azure for their critical workloads.

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Related: Compare with the AWS SLA

Related: See worked examples: How to calculate Azure SLA

Frequently Asked Questions

What is the difference between an SLA, an SLI, and an SLO?

A Service Level Agreement is the contractual commitment a provider makes, often with financial penalties. A Service Level Indicator is the measured metric, such as request success rate. A Service Level Objective is the internal target a team aims to hit, usually stricter than the public SLA to leave engineering headroom for unexpected incidents.

Which Azure services have published SLAs?

Microsoft publishes SLAs only for generally available paid services such as Virtual Machines, App Service, Azure SQL Database, and Storage. Preview features, free tiers, and developer-tier services have no SLA. Always check the service-specific SLA page on the Azure documentation portal because percentages range from 99.9 to 99.999 depending on configuration.

How is uptime responsibility shared between Microsoft and the customer?

Microsoft guarantees the availability of the platform layer such as compute, storage, and networking. The customer is responsible for application architecture, deployment across zones or regions, backup configuration, and code quality. A single-zone VM crash inside the SLA percentage is not a Microsoft breach. Resilient architecture is required to actually reach the published numbers.

Why does Azure offer different SLA percentages for the same service?

Azure ties SLA levels to the deployment topology. A standalone VM with premium SSDs gets 99.9 percent, two VMs in an availability set get 99.95 percent, and VMs spread across availability zones reach 99.99 percent. Higher SLAs require more infrastructure spend, so architects balance cost against the business impact of downtime per workload.

Does an Azure SLA cover data loss or only downtime?

Azure SLAs cover availability and connectivity, not data durability or data loss. Storage durability is described separately, often as 11 to 16 nines depending on redundancy tier. Customers remain responsible for backup, geo-replication, and disaster recovery configuration. If you lose data without a working backup, SLA service credits will not compensate the business impact.

Written By

Jacob Stålbro
Jacob Stålbro

Head of Innovation at Opsio

Jacob leads innovation at Opsio, specialising in digital transformation, AI, IoT, and cloud-driven solutions that turn complex technology into measurable business value. With nearly 15 years of experience, he works closely with customers to design scalable AI and IoT solutions, streamline delivery processes, and create technology strategies that drive sustainable growth and long-term business impact.

Editorial standards: This article was written by cloud practitioners and peer-reviewed by our engineering team. We update content quarterly for technical accuracy. Opsio maintains editorial independence.