Concepts

Author: tedvilutis

articles/time-series-insights/breaking-changes-long-data-type.md

@@ -14,6 +14,8 @@ ms.date: 12/07/2020
 
 # Adding support for long data type in Azure Time Series Insights Gen2
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 The addition of support for long data type affects how we store and index numeric data in Azure Time Series Insights Gen2 environments only. If you have a Gen1 environment, you can disregard these changes.
 
 Beginning June 29 or June 30, 2020, depending on your region, your data will be indexed as **Long** and **Double**.  If you have any questions or concerns about this change, submit a support ticket through the Azure portal and mention this communication.

articles/time-series-insights/concepts-access-policies.md

@@ -15,6 +15,8 @@ ms.custom: seodec18
 
 # Grant data access to an environment
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 This article discusses the two types of Azure Time Series Insights access policies.
 
 > [!Warning]

articles/time-series-insights/concepts-ingestion-overview.md

@@ -15,6 +15,8 @@ ms.custom: seodec18
 
 # Azure Time Series Insights Gen2 data ingestion overview
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 Your Azure Time Series Insights Gen2 environment contains an *ingestion engine* to collect, process, and store streaming time series data. As data arrives into your event source(s), Azure Time Series Insights Gen2 will consume and store your data in near real time.
 
 [![Ingestion overview](media/concepts-ingress-overview/ingress-overview.png)](media/concepts-ingress-overview/ingress-overview.png#lightbox)

articles/time-series-insights/concepts-json-flattening-escaping-rules.md

@@ -14,6 +14,8 @@ ms.date: 01/21/2021
 
 # JSON Flattening, Escaping, and Array Handling
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 Your Azure Time Series Insights Gen2 environment will dynamically create the columns of your warm and cold stores, following a particular set of naming conventions. When an event is ingested, a set of rules is applied to the JSON payload and property names. These include escaping certain special characters and flattening nested JSON objects. It's important to know these rules so that you understand how the shape of your JSON will influence how your events are stored and queried. See the table below for the full list of rules. Examples A & B also demonstrate how you're able to efficiently batch multiple time series in an array.
 
 > [!IMPORTANT]

articles/time-series-insights/concepts-model-overview.md

@@ -15,6 +15,8 @@ ms.custom: seodec18
 
 # Time Series Model in Azure Time Series Insights Gen2
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 This article describes Time Series Model, the capabilities, and how to start building and updating your own models in the Azure Time Series Insights Gen2 environment.
 
 > [!TIP]

articles/time-series-insights/concepts-power-bi.md

@@ -13,6 +13,8 @@ ms.date: 09/28/2020
 
 # Connect Azure Time Series Insights Gen 2 to Power BI
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 Are you looking for a solution to help correlate your time-series data, create vivid visualizations, and share insights across your organization?
 
 Azure Time Series Insights now seamlessly integrates with [Power BI](https://powerbi.microsoft.com/), providing you with more powerful visualization and dashboarding capabilities over your streaming data and allows you to share insights and results across your organization.

articles/time-series-insights/concepts-private-links.md

@@ -13,6 +13,8 @@ ms.date: 09/01/2021
 
 # Private network access with Azure Private Link (preview) 
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 [Azure Private Link](../private-link/private-link-overview.md) is a service that enables you to access Azure resources (like [Azure Event Hubs](../event-hubs/event-hubs-about.md), [Azure Storage](../storage/common/storage-introduction.md), and [Azure Cosmos DB](../cosmos-db/introduction.md)) and Azure-hosted customer and partner services over a private endpoint in your [Azure Virtual Network (VNet)](../virtual-network/virtual-networks-overview.md). 
 
 Similarly, you can use private endpoints for your Time Series Insights instance to allow clients located in your virtual network to securely access the instance over Private Link. 

articles/time-series-insights/concepts-query-overview.md

@@ -15,6 +15,8 @@ ms.custom: seodec18
 
 # Querying Data from Azure Time Series Insights Gen2
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 Azure Time Series Insights Gen2 enables data querying on events and metadata stored in the environment via public surface APIs. These APIs also are used by the [Azure Time Series Insights TSI Explorer](./concepts-ux-panels.md).
 
 Three primary API categories are available in Azure Time Series Insights Gen2:

articles/time-series-insights/concepts-storage.md

@@ -14,6 +14,8 @@ ms.custom: seodec18
 
 # Data Storage
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 This article describes data storage in Azure Time Series Insights Gen2. It covers warm and cold, data availability, and best practices.
 
 ## Provisioning

articles/time-series-insights/concepts-streaming-ingestion-event-sources.md

@@ -14,6 +14,8 @@ ms.date: 03/18/2021
 
 # Azure Time Series Insights Gen2 event sources
 
+[!INCLUDE [retirement](../../includes/tsi-retirement.md)]
+
 Your Azure Time Series Insights Gen2 environment can have up to two streaming event sources. Two types of Azure resources are supported as inputs:
 
 - [Azure IoT Hub](../iot-hub/about-iot-hub.md)