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articles/active-directory-b2c/best-practices.md

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@@ -75,7 +75,7 @@ Manage your Azure AD B2C environment.
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| Use version control for your custom policies | Consider using GitHub, Azure Repos, or another cloud-based version control system for your Azure AD B2C custom policies. |
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| Use the Microsoft Graph API to automate the management of your B2C tenants | Microsoft Graph APIs:<br/>Manage [Identity Experience Framework](/graph/api/resources/trustframeworkpolicy?preserve-view=true&view=graph-rest-beta) (custom policies)<br/>[Keys](/graph/api/resources/trustframeworkkeyset?preserve-view=true&view=graph-rest-beta)<br/>[User Flows](/graph/api/resources/identityuserflow?preserve-view=true&view=graph-rest-beta) |
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| Integrate with Azure DevOps | A [CI/CD pipeline](deploy-custom-policies-devops.md) makes moving code between different environments easy and ensures production readiness always. |
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| Custom policy deployment | Azure AD B2C relies on caching to deliver performance to your end users. When you deploy a custom policy using whatever method, expect a delay of about **15 to 20 minutes** for your users to see the changes. As a result of this behavior, consider the following practices when you deploy your custom policies: <br> - If you're deploying to a development environment, set the `DeploymentMode` attribute to `Development` in your custom policy file's `<TrustFrameworkPolicy>` element. <br> - Deploy your updated policy files to a production environment when traffic in your app is low. <br> - When you deploy to a production environment to update existing policy files, upload the updated files with new name(s), and then update your app reference to the new name(s). You can then remove the old policy files afterwards.<br> - You can set the `DeploymentMode` to `Development` in a production environment to bypass the caching behavior. However, we don't recommend this practice. If you [Collect Azure AD B2C logs with Application Insights](troubleshoot-with-application-insights.md), all claims sent to and from identity providers are collected, which is a security and performance risk. |
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| Custom policy deployment | Azure AD B2C relies on caching to deliver performance to your end users. When you deploy a custom policy using whatever method, expect a delay of up to **30 minutes** for your users to see the changes. As a result of this behavior, consider the following practices when you deploy your custom policies: <br> - If you're deploying to a development environment, set the `DeploymentMode` attribute to `Development` in your custom policy file's `<TrustFrameworkPolicy>` element. <br> - Deploy your updated policy files to a production environment when traffic in your app is low. <br> - When you deploy to a production environment to update existing policy files, upload the updated files with new name(s), and then update your app reference to the new name(s). You can then remove the old policy files afterwards.<br> - You can set the `DeploymentMode` to `Development` in a production environment to bypass the caching behavior. However, we don't recommend this practice. If you [Collect Azure AD B2C logs with Application Insights](troubleshoot-with-application-insights.md), all claims sent to and from identity providers are collected, which is a security and performance risk. |
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| Integrate with Azure Monitor | [Audit log events](view-audit-logs.md) are only retained for seven days. [Integrate with Azure Monitor](azure-monitor.md) to retain the logs for long-term use, or integrate with third-party security information and event management (SIEM) tools to gain insights into your environment. |
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| Setup active alerting and monitoring | [Track user behavior](./analytics-with-application-insights.md) in Azure AD B2C using Application Insights. |
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