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Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. This document lists some of the most common Microsoft Azure limits, which are also sometimes called quotas. To learn more about Azure pricing, see Azure pricing overview. There, you can estimate your costs by using the pricing calculator.
You also can go to the pricing details page for a particular service, for example, Windows VMs. For tips to help manage your costs, see Prevent unexpected costs with Azure billing and cost management. When a service doesn't have adjustable limits, the following tables use the header Limit. In those cases, the default and the maximum limits are the same.
When the limit can be adjusted, the tables include Default limit and Maximum limit headers. The limit can be raised above the default limit but not above the maximum limit. If you want to raise the limit or quota above the default limit, open an online customer support request at no charge. The terms soft limit and hard limit often are used informally to describe the current, adjustable limit soft limit and the maximum limit hard limit.
If a limit isn't adjustable, there won't be a soft limit, only a hard limit. Free Trial subscriptions aren't eligible for limit or quota increases.
Let's use vCPU quotas as an example. You then request an increase in vCPU quotas for the amounts and regions that you want. As a result, decide what your quotas must be for your workload in any one region. Then request that amount in each region into which you want to deploy. For help in how to determine your current quotas for specific regions, see Resolve errors for resource quotas. For limits on resource names, see Naming rules and restrictions for Azure resources.
The following limits apply to management groups. To delete management group level deployments, use Remove-AzManagementGroupDeployment or az deployment mg delete. However, the subscription can contain an unlimited number of tags that are applied to resource groups and resources within the subscription. The number of tags per resource or resource group is limited to A unique tag is defined by the combination of resource ID, tag name, and tag value.
For example, two resources with the same tag name and value would be calculated as two unique tags. You still can find a resource by tag when the number exceeds 80, For more information, see Automatic deletions from deployment history. Deleting an entry from the deployment history doesn't affect the deployed resources. You can exceed some template limits by using a nested template. For more information, see Use linked templates when you deploy Azure resources.
To reduce the number of parameters, variables, or outputs, you can combine several values into an object. For more information, see Objects as parameters. You may get an error with a template or parameter file of less than 4 MB, if the total size of the request is too large.
For more information about how to simplify your template to avoid a large request, see Resolve errors for job size exceeded. For details on the pricing tiers and their scaling limits, see API Management pricing. To see the pricing tiers and their scaling limits, see API Management pricing. The Developer tier is limited to 1, This limit doesn't apply to the Consumption tier. In the Consumption tier, policy document size is limited to 16 KiB.
There are no limits in these categories for other tiers. Includes an up to bytes long query string. The limit applies to the number of self-hosted gateway resources. To raise this limit contact support.
Note, that the number of nodes or replicas associated with a self-hosted gateway resource is unlimited in the Premium tier and capped at a single node in the Developer tier. For more information, see App Service pricing. The total content size of all apps across all App service plans in a single resource group and region cannot exceed GB. The file system quota for App Service hosted apps is determined by the aggregate of App Service plans created in a region and resource group.
For Standard tier and above, there are no theoretical limits to web sockets, but other factors can limit the number of web sockets. For example, maximum concurrent requests allowed defined by maxConcurrentRequestsPerCpu are: 7, per small VM, 15, per medium VM 7, x 2 cores , and 75, per large VM 18, x 4 cores.
Always On is required for continuous WebJobs execution. There's no predefined limit on the number of WebJobs that can run in an App Service instance. There are practical limits that depend on what the application code is trying to do. Limited to only one free certificate per custom domain. Jobs that use the same sandbox are bound by the resource limitations of the sandbox. Azure Cache for Redis limits and sizes are different for each pricing tier.
To see the pricing tiers and their associated sizes, see Azure Cache for Redis pricing. For more information on Azure Cache for Redis configuration limits, see Default Redis server configuration. Because configuration and management of Azure Cache for Redis instances is done by Microsoft, not all Redis commands are supported in Azure Cache for Redis.
For more information, see Redis commands not supported in Azure Cache for Redis. This limit refers to the number of distinct roles, that is, configuration. This limit doesn't refer to the number of instances per role, that is, scaling.
You can create multiple services, limited only by the number of services allowed at each tier. For example, you could create up to 16 services at the Basic tier and another 16 services at the S1 tier within the same subscription. Maximum service limits can be raised upon request. If you need more services within the same subscription, file a support request.
Because the hardware isn't dedicated, scale-up isn't supported on the free tier. You need both resources for storage, indexing, and query operations. To learn more about SU computations, see Scale resource levels for query and index workloads. A search service is constrained by disk space or by a hard limit on the maximum number of indexes or indexers, whichever comes first. The following table documents storage limits. For maximum object limits, see Limits by resource.
Additional search units can be used to add replicas for larger query volumes. Free services and preview features have no SLA. For billable services, SLAs take effect when you provision sufficient redundancy for your service. Two or more replicas are required for query read SLAs. Three or more replicas are required for query and indexing read-write SLAs. The number of partitions isn't an SLA consideration. To learn more about limits on a more granular level, such as document size, queries per second, keys, requests, and responses, see Service limits in Azure Cognitive Search.
The following limits are for the number of Cognitive Services resources per Azure subscription. There is a limit of only one allowed 'Free' account, per Cognitive Service type, per subscription. Each of the Cognitive Services may have other limitations, for more information, see Azure Cognitive Services. The following table describes the limits on management operations performed on Azure Data Explorer clusters.
Pay at standard rates. Consumption plan uses Azure Files for temporary storage. For more information, see Functions Hosting plans comparison. Health Data Services enables workflows to improve healthcare and offers scalable and secure healthcare solutions. The following table shows the usage limit for the Azure Maps S0 pricing tier. Usage limit depends on the pricing tier.
The following table shows the cumulative data size limit for Azure Maps accounts in an Azure subscription. The Azure Maps Data service is available only at the S1 pricing tier. For more information on the Azure Maps pricing tiers, see Azure Maps pricing.
Azure Monitor Alerts have several throttling limits to protect against users making an excessive number of calls. Such behavior can potentially overload the system backend resources and jeopardize service responsiveness. The following limits are designed to protect customers from interruptions and ensure consistent service level. The user throttling and limits are designed to impact only extreme usage scenario and should not be relevant for typical usage. Azure Monitor has several throttling limits to protect against users sending an excessive number of queries.
Azure Monitor is a high scale data service that serves thousands of customers sending terabytes of data each month at a growing pace. The volume rate limit intends to isolate Azure Monitor customers from sudden ingestion spikes in multitenancy environment.
