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articles/api-center/enable-managed-api-analysis-linting.md

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This article explains how to enable API analysis in [Azure API Center](overview.md) without having to manage it yourself (preview). API analysis offers linting capabilities to analyze API definitions in your organization's API center. Linting ensures your API definitions adhere to organizational style rules, generating both individual and summary reports. Use API analysis to identify and correct common errors and inconsistencies in your API definitions.
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> [!NOTE]
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> With managed linting and analysis, API Center sets up a linting engine and any required dependencies and triggers. You can also enable linting and analysis [manually](enable-api-analysis-linting.md).
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> [!IMPORTANT]
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> Managed API analysis in API Center sets up a linting engine and necessary dependencies automatically. You can also enable linting and analysis [manually](enable-api-analysis-linting.md) using a custom Azure function. **Disable any function used for manual linting before enabling managed API analysis.**
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In this scenario:
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* Currently, only OpenAPI specification documents in JSON or YAML format are analyzed.
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* By default, you enable analysis with the [`spectral:oas` ruleset](https://docs.stoplight.io/docs/spectral/4dec24461f3af-open-api-rules). To learn more about the built-in rules, see the [Spectral GitHub repo](https://github.com/stoplightio/spectral/blob/develop/docs/reference/openapi-rules.md).
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* Currently, you configure a single ruleset, and it's applied to all OpenAPI definitions in your API center.
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* The following are limits for maximum number of API definitions linted per 4 hours:
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* Free tier: 10
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* Standard tier: 100
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## Prerequisites
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articles/api-center/includes/api-center-service-limits.md

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| Maximum number of custom metadata properties per entity<sup>3</sup> | 10 | 20 |
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| Maximum number of child properties in custom metadata property of type "object" | 10 |10 |
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| Maximum requests per minute (data plane) | 3,000 | 6,000 |
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| Maximum number of API definitions [linted](../enable-managed-api-analysis-linting.md) per 4 hours | 10 | 100 |
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<sup>1</sup> To increase a limit in the Standard plan, contact [support](https://azure.microsoft.com/support/options/).<br/>
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<sup>2</sup> In the Free plan, use of full service features including API analysis and access through the data plane API is limited to 5 APIs.<br/>

articles/storage/blobs/lifecycle-management-overview.md

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## Lifecycle policy runs
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The platform runs the lifecycle policy once a day. When you configure or edit a lifecycle policy., it can take up to 24 hours for changes to go into effect and for the first execution to start. The time taken for policy actions to complete depends on the number of blobs evaluated and operated on.
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When you configure or edit a lifecycle policy., it can take up to 24 hours for changes to go into effect and for the first execution to start. The time taken for policy actions to complete depends on the number of blobs evaluated and operated on.
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If you disable a policy, then no new policy runs will be scheduled, but if a run is already in progress, that run will continue until it completes and you're billed for any actions that are required to complete the run. See [Regional availability and pricing](#regional-availability-and-pricing).
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articles/storage/blobs/storage-blob-faq.yml

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- question: |
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I created a new policy. Why do the actions not run immediately?
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answer: |
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The platform runs the lifecycle policy once a day. Once you configure a policy, it can take up to 24 hours to go into effect. Once the policy is in effect, the time taken for actions to run may vary depending on the size of the storage account and the operations performed.
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Once you configure a policy, it can take up to 24 hours to go into effect. Once the policy is in effect, the time taken for actions to run may vary depending on the size of the storage account and the operations performed.
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If I update an existing policy, how long does it take for the actions to run?
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answer: |

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