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Merge pull request #272303 from EdB-MSFT/autoscale-update
refresh autoscale
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‎articles/azure-monitor/autoscale/autoscale-common-metrics.md

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author: EdB-MSFT
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ms.author: edbaynash
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ms.topic: conceptual
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ms.date: 04/17/2023
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ms.date: 04/15/2024
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ms.subservice: autoscale
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ms.reviewer: akkumari
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# customer intent: As an Azure administrator, I want to learn which metrics are best to scale my resources using Azure Monitor autoscale
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# Azure Monitor autoscaling common metrics
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### Web Apps metrics
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for Web Apps, you can alert on or scale by these metrics.
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For Web Apps, you can alert on or scale by these metrics.
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| Metric name | Unit |
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| --- | --- |

‎articles/azure-monitor/autoscale/autoscale-diagnostics.md

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ms.service: azure-monitor
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ms.subservice: autoscale
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ms.topic: how-to
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ms.date: 01/25/2023
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ms.date: 04/15/2024
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ms.reviewer: akkumari
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# Customer intent: As a DevOps admin, I want to collect and analyze autoscale metrics and logs.
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Autoscale has two log categories and a set of metrics that can be enabled via the **Diagnostics settings** tab on the **Autoscale setting** page.
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:::image type="content" source="./media/autoscale-diagnostics/autoscale-diagnostics-menu.png" alt-text="Screenshot that shows the menu on the Autoscale setting page.":::
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:::image type="content" source="./media/autoscale-diagnostics/autoscale-diagnostics-menu.png" lightbox="./media/autoscale-diagnostics/autoscale-diagnostics-menu.png" alt-text="A screenshot that shows the menu on the Autoscale setting page.":::
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The two categories are:
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View the history of your autoscale activity on the **Run history** tab. The **Run history** tab includes a chart of resource instance counts over time and the resource activity log entries for autoscale.
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:::image type="content" source="./media/autoscale-diagnostics/autoscale-run-history.png" alt-text="Screenshot that shows the Run history tab on the Autoscale setting page.":::
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:::image type="content" source="./media/autoscale-diagnostics/autoscale-run-history.png" lightbox="./media/autoscale-diagnostics/autoscale-run-history.png" alt-text="A screenshot that shows the Run history tab on the Autoscale setting page.":::
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## Resource log schemas
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‎articles/azure-monitor/autoscale/autoscale-overview.md

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ms.service: azure-monitor
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ms.subservice: autoscale
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ms.topic: conceptual
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ms.date: 03/08/2023
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ms.date: 04/15/2024
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# customer intent: 'I want to learn about autoscale in Azure Monitor.'
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# Overview of autoscale in Azure
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> [!NOTE]
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> [Availability sets](/archive/blogs/kaevans/autoscaling-azurevirtual-machines) are an older scaling feature for virtual machines with limited support. We recommend migrating to [Azure Virtual Machine Scale Sets](../../virtual-machine-scale-sets/overview.md) for faster and more reliable autoscale support.
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## What is autoscale?
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## What is autoscale
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Autoscale is a service that you can use to automatically add and remove resources according to the load on your application.
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* [Cross-platform command-line interface (CLI)](../cli-samples.md#autoscale)
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* [Azure Monitor REST API](/rest/api/monitor/autoscalesettings)
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## Architecture
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The following diagram shows the autoscale architecture.
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:::image type="content" source="./media/autoscale-overview/Autoscale_Overview_v4.png" lightbox="./media/autoscale-overview/Autoscale_Overview_v4.png" alt-text="Diagram that shows autoscale flow.":::
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### Resource metrics
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## Resource metrics
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Resources generate metrics that are used in autoscale rules to trigger scale events. Virtual machine scale sets use telemetry data from Azure diagnostics agents to generate metrics. Telemetry for the Web Apps feature of Azure App Service and Azure Cloud Services comes directly from the Azure infrastructure. Some commonly used metrics include CPU usage, memory usage, thread counts, queue length, and disk usage. For a list of available metrics, see [Autoscale Common Metrics](autoscale-common-metrics.md).
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### Custom metrics
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## Custom metrics
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Use your own custom metrics that your application generates. Configure your application to send metrics to [Application Insights](../app/app-insights-overview.md) so that you can use those metrics to decide when to scale.
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### Time
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## Time
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Set up schedule-based rules to trigger scale events. Use schedule-based rules when you see time patterns in your load and want to scale before an anticipated change in load occurs.
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### Rules
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## Rules
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Rules define the conditions needed to trigger a scale event, the direction of the scaling, and the amount to scale by. Combine multiple rules by using different metrics like CPU usage and queue length. Define up to 10 rules per profile.
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Autoscale scales out if *any* of the rules are met. Autoscale scales in only if *all* the rules are met.
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In terms of logic operators, the OR operator is used for scaling out with multiple rules. The AND operator is used for scaling in with multiple rules.
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### Actions and automation
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## Actions and automation
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Rules can trigger one or more actions. Actions include:
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## Autoscale settings
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Autoscale settings contain the autoscale configuration. The setting includes scale conditions that define rules, limits, and schedules and notifications. Define one or more scale conditions in the settings and one notification setup.
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Autoscale settings includes scale conditions that define rules, limits, and schedules and notifications. Define one or more scale conditions in the settings and one notification setup.
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Autoscale uses the following terminology and structure.
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| Scale conditions | profiles | A collection of rules, instance limits, and schedules based on a metric or time. You can define one or more scale conditions or profiles. Define up to 20 profiles per autoscale setting. |
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| Rules | rules | A set of conditions based on time or metrics that triggers a scale action. You can define one or more rules for both scale-in and scale-out actions. Define up to a total of 10 rules per profile. |
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| Instance limits | capacity | Each scale condition or profile defines the default, maximum, and minimum number of instances that can run under that profile. |
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| Schedule | recurrence | Indicates when autoscale should put this scale condition or profile into effect. You can have multiple scale conditions, which allow you to handle different and overlapping requirements. For example, you can have different scale conditions for different times of day or days of the week. |
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| Schedule | recurrence | Indicates when autoscale puts this scale condition or profile into effect. You can have multiple scale conditions, which allow you to handle different and overlapping requirements. For example, you can have different scale conditions for different times of day or days of the week. |
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| Notify | notification | Defines the notifications to send when an autoscale event occurs. Autoscale can notify one or more email addresses or make a call by using one or more webhooks. You can configure multiple webhooks in the JSON but only one in the UI. |
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:::image type="content" source="./media/autoscale-overview/azure-resource-manager-rule-structure-3.png" lightbox="./media/autoscale-overview/azure-resource-manager-rule-structure-3.png" alt-text="Diagram that shows Azure autoscale setting, profile, and rule structure.":::
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Autoscale supports the following services.
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| Service | Schema and documentation |
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| Service | Schema and documentation |
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|---------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|
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| Azure Virtual Machines Scale Sets | [Overview of autoscale with Azure Virtual Machine Scale Sets](../../virtual-machine-scale-sets/virtual-machine-scale-sets-autoscale-overview.md) |
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| Web Apps feature of Azure App Service | [Scaling Web Apps](autoscale-get-started.md) |
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| Web Apps feature of Azure App Service | [Scaling Web Apps](autoscale-get-started.md) |
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| Azure API Management service | [Automatically scale an Azure API Management instance](../../api-management/api-management-howto-autoscale.md) |
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| Azure Data Explorer clusters | [Manage Azure Data Explorer clusters scaling to accommodate changing demand](/azure/data-explorer/manage-cluster-horizontal-scaling) |
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| Azure Stream Analytics | [Autoscale streaming units (preview)](../../stream-analytics/stream-analytics-autoscale.md) |
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| Azure SignalR Service (Premium tier) | [Automatically scale units of an Azure SignalR service](../../azure-signalr/signalr-howto-scale-autoscale.md) |
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| Azure SignalR Service (Premium tier) | [Automatically scale units of an Azure SignalR service](../../azure-signalr/signalr-howto-scale-autoscale.md) |
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| Azure Machine Learning workspace | [Autoscale an online endpoint](../../machine-learning/how-to-autoscale-endpoints.md) |
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| Azure Spring Apps | [Set up autoscale for applications](../../spring-apps/enterprise/how-to-setup-autoscale.md) |
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| Azure Media Services | [Autoscaling in Media Services](/azure/media-services/latest/release-notes#autoscaling) |
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| Azure Service Bus | [Automatically update messaging units of an Azure Service Bus namespace](../../service-bus-messaging/automate-update-messaging-units.md) |
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| Azure Logic Apps - Integration service environment (ISE) | [Add ISE capacity](../../logic-apps/ise-manage-integration-service-environment.md#add-ise-capacity) |
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| Azure Spring Apps | [Set up autoscale for applications](../../spring-apps/enterprise/how-to-setup-autoscale.md) |
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| Azure Media Services | [Autoscaling in Media Services](/azure/media-services/latest/release-notes#autoscaling) |
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| Azure Service Bus | [Automatically update messaging units of an Azure Service Bus namespace](../../service-bus-messaging/automate-update-messaging-units.md) |
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| Azure Logic Apps - Integration service environment (ISE) | [Add ISE capacity](../../logic-apps/ise-manage-integration-service-environment.md#add-ise-capacity) |
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## Next steps
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