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articles/azure-monitor/app/pricing.md

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ms.tgt_pltfrm: ibiza
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ms.topic: conceptual
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ms.reviewer: mbullwin
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ms.date: 09/30/2019
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ms.date: 10/03/2019
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ms.author: dalek
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---
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# Manage usage and costs for Application Insights
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> [!NOTE]
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> This article describes how to understand and control your costs for Application Insights. A related article, [Monitoring usage and estimated costs](usage-estimated-costs.md) describes how to view usage and estimated costs across multiple Azure monitoring features for different pricing models.
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> This article describes how to understand and control your costs for Application Insights. A related article, [Monitoring usage and estimated costs](https://docs.microsoft.com/azure/azure-monitor/platform/usage-estimated-costs) describes how to view usage and estimated costs across multiple Azure monitoring features for different pricing models.
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If you have questions about how pricing works for Application Insights, you can post a question in our [forum](https://social.msdn.microsoft.com/Forums/home?forum=ApplicationInsights).
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### Data collection when using sampling
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With the ASP.NET SDK's [adaptive sampling](https://docs.microsoft.com/en-us/azure/azure-monitor/app/sampling#adaptive-sampling-in-your-aspnetaspnet-core-web-applications), the data volume is adjusted automatically to keep within a specified maximum rate of traffic for default Application Insights monitoring. If the application produces a low amount of telemetry, such as when debugging or due to low usage, items won't be dropped by the sampling processor as long as volume is below the configured events per second level. For a high volume application, with the default threshold of 5 events per second, adaptive sampling will limit the number of daily events to 432,000. Using a typical average event size of 1 KB, this corresponds to 13.4 GB of telemetry per 31-day month per node hosting your application (since the sampling is done local to each node.)
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With the ASP.NET SDK's [adaptive sampling](https://docs.microsoft.com/azure/azure-monitor/app/sampling#adaptive-sampling-in-your-aspnetaspnet-core-web-applications), the data volume is adjusted automatically to keep within a specified maximum rate of traffic for default Application Insights monitoring. If the application produces a low amount of telemetry, such as when debugging or due to low usage, items won't be dropped by the sampling processor as long as volume is below the configured events per second level. For a high volume application, with the default threshold of 5 events per second, adaptive sampling will limit the number of daily events to 432,000. Using a typical average event size of 1 KB, this corresponds to 13.4 GB of telemetry per 31-day month per node hosting your application (since the sampling is done local to each node.)
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For SDKs which don't support adaptive sampling, you can employ [ingestion sampling)[https://docs.microsoft.com/en-us/azure/azure-monitor/app/sampling#ingestion-sampling] which samples when the data is receved by Application Insights based on a percentage of data to retain, or [fixed-rate sampling for ASP.NET, ASP.NET Core, and Java websites](https://docs.microsoft.com/en-us/azure/azure-monitor/app/sampling#fixed-rate-sampling-for-aspnet-aspnet-core-and-java-websites) to reduce the traffic sent from your web server and web browsers
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For SDKs which don't support adaptive sampling, you can employ [ingestion sampling)[https://docs.microsoft.com/azure/azure-monitor/app/sampling#ingestion-sampling] which samples when the data is receved by Application Insights based on a percentage of data to retain, or [fixed-rate sampling for ASP.NET, ASP.NET Core, and Java websites](https://docs.microsoft.com/azure/azure-monitor/app/sampling#fixed-rate-sampling-for-aspnet-aspnet-core-and-java-websites) to reduce the traffic sent from your web server and web browsers
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### Learn from what similar customers collect
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![Adjust the daily telemetry volume cap](./media/pricing/pricing-005.png)
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The retention can also be [set via ARM](https://docs.microsoft.com/en-us/azure/azure-monitor/app/powershell) using the `retentionInDays` parameter. Additionally, if you set the data retention to 30 days, you can trigger an immediate purge of older data using the `immediatePurgeDataOn30Days` parameter, which may be useful for compliance-related scenarios. This functionality is only exposed via ARM.
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The retention can also be [set via ARM](https://docs.microsoft.com/azure/azure-monitor/app/powershell) using the `retentionInDays` parameter. Additionally, if you set the data retention to 30 days, you can trigger an immediate purge of older data using the `immediatePurgeDataOn30Days` parameter, which may be useful for compliance-related scenarios. This functionality is only exposed via ARM.
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When billing begins for longer retention in early December 2019, data kept longer than 90 days will be billed as the same rate as is currently billed for Azure Log Analytics data retention.
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Learn more at the [Azure Monitor Pricing page](https://azure.microsoft.com/pricing/details/monitor/). Stay up-to-date on variable retention progress by [voting for this suggestion](https://feedback.azure.com/forums/357324-azure-monitor-application-insights/suggestions/17454031).

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