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Copy file name to clipboardExpand all lines: pipeline/outputs/azure_kusto.md
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@@ -11,7 +11,7 @@ The Kusto output plugin allows to ingest your logs into an [Azure Data Explorer]
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You can create an Azure Data Explorer cluster in one of the following ways:
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-[Create a free-tier cluster](https://dataexplorer.azure.com/freecluster)
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-[Create a fully-featured cluster](https://docs.microsoft.com/en-us/azure/data-explorer/create-cluster-database-portal)
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-[Create a fullyfeatured cluster](https://docs.microsoft.com/en-us/azure/data-explorer/create-cluster-database-portal)
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## For ingesting into Microsoft Fabric Real Time Analytics : Creating an Eventhouse Cluster and KQL Database
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-[Create an Eventhouse cluster](https://docs.microsoft.com/en-us/azure/data-explorer/eventhouse/create-eventhouse-cluster)
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-[Create a KQL database](https://docs.microsoft.com/en-us/azure/data-explorer/eventhouse/create-database)
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## Creating an Azure Registered Application
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Fluent-Bit will use the application's credentials, to ingest data into your cluster.
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| time_key | The key name of time. If `include_time_key` is false, This property is ignored. |`timestamp`|
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| ingestion_endpoint_connect_timeout | The connection timeout of various Kusto endpoints in seconds. |`60`|
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| compression_enabled | If enabled, sends compressed HTTP payload (gzip) to Kusto. |`true`|
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| ingestion_resources_refresh_interval | The ingestion resources refresh interval of Kusto endpoint in seconds.
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| ingestion_resources_refresh_interval | The ingestion resources refresh interval of Kusto endpoint in seconds.
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| workers | The number of [workers](../../administration/multithreading.md#outputs) to perform flush operations for this output. |`0`|
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| buffering_enabled |_Optional_ - Enable buffering into disk before ingesting into Azure Kusto. |`Off`|
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| buffer_dir |_Optional_ - When buffering is `On`, specifies the location of directory where the buffered data will be stored. |`/tmp/fluent-bit/azure-kusto/`|
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