update CICD and VSCode related docs

Author: alex-lin-msft

articles/stream-analytics/cicd-overview.md

@@ -2,31 +2,28 @@
 title: Continuous integration and deployment for Azure Stream Analytics 
 description: This article gives an overview of a continuous integration and deployment (CI/CD) pipeline for Azure Stream Analytics.
 services: stream-analytics
-author: su-jie
-ms.author: sujie
+author: alexlzx
+ms.author: zhenxilin
 ms.service: stream-analytics
 ms.topic: how-to
-ms.date: 9/22/2020
+ms.date: 12/27/2022
 ---
 
 # Continuous integration and deployment (CI/CD) for Azure Stream Analytics
 
-You can deploy your Azure Stream Analytics job continuously by using source control integration. Source control integration enables a workflow in which a code update triggers a resource deployment to Azure. This article outlines the basic steps for creating a continuous integration and deployment (CI/CD) pipeline.
+You can build and deploy your Azure Stream Analytics job continuously using a source control integration. Source control integration creates a workflow in which any code updates would trigger a resource deployment to Azure. This article outlines the basic steps for creating a continuous integration and continuous delivery (CI/CD) pipeline.
 
 If you're new to Azure Stream Analytics, get started with the [Azure Stream Analytics quickstart](stream-analytics-quick-create-portal.md).
 
 ## Create a CI/CD pipeline
 
-Follow the steps in this guide to create a CI/CD pipeline for Stream Analytics.
+Follow the steps to create a CI/CD pipeline for your Stream Analytics project: 
 
-1. Develop an Azure Stream Analytics query.
+1. Create a Stream Analytics project using VSCode.
 
-   Use Azure Stream Analytics tools for [Visual Studio Code](./quick-create-visual-studio-code.md) or [Visual Studio](stream-analytics-quick-create-vs.md) to [develop and test queries locally](develop-locally.md). You can also [export an existing job](visual-studio-code-explore-jobs.md#export-a-job-to-a-local-project) to a local project.
+   Use the ASA Tools extension for [Visual Studio Code](./quick-create-visual-studio-code.md) to [develop and test queries locally](develop-locally.md). You can also [export an existing job](visual-studio-code-explore-jobs.md#export-a-job-to-a-local-project) to your local machine.
 
-   > [!NOTE] 
-   > We strongly recommend using [**Stream Analytics tools for Visual Studio Code**](./quick-create-visual-studio-code.md) for best local development experience. There are known feature gaps in Stream Analytics tools for Visual Studio 2019 (version 2.6.3000.0) and it won't be improved going forward.
-
-2. Commit your Azure Stream Analytics projects to your source control system, like a Git repository.
+2. Commit your Stream Analytics project to your source control system, like a Git repository.
 
 3. Use [Azure Stream Analytics CI/CD tools](cicd-tools.md) to build the projects and generate Azure Resource Manager templates for the deployment.
 

articles/stream-analytics/cicd-tools.md

@@ -2,16 +2,16 @@
 title: Automate builds, tests, and deployments of an Azure Stream Analytics job using CI/CD tools
 description: This article describes how to use Azure Stream Analytics CI/CD tools to auto build, test, and deploy an Azure Stream Analytics project.
 services: stream-analytics
-author: su-jie
-ms.author: sujie
+author: alexlzx
+ms.author: zhenxilin
 ms.service: stream-analytics
 ms.topic: how-to
-ms.date: 06/29/2021
+ms.date: 12/27/2022
 ---
 
 # Automate builds, tests, and deployments of an Azure Stream Analytics job using CI/CD tools
 
-You can use the Azure Stream Analytics CI/CD npm package to automatically build, test, and deploy your Azure Stream Analytics Visual Studio Code or Visual Studio projects. The projects can be created using development tools or they can be exported from existing Stream Analytics jobs. This article describes how to use the npm package with any CI/CD system. For deployment with Azure Pipelines, see [Use Azure DevOps to create a CI/CD pipeline for a Stream Analytics job](set-up-cicd-pipeline.md).
+You can use the Azure Stream Analytics CI/CD npm package to automatically build, test, and deploy your Azure Stream Analytics projects using Visual Studio Code. You can create a new Stream Analytics project using the ASA Tools extension for Visual Studio Code or export an existing Stream Analytics job from Azure. This article describes how to use the npm package with any CI/CD system. For deployment with Azure Pipelines, see [Use Azure DevOps to create a CI/CD pipeline for a Stream Analytics job](set-up-cicd-pipeline.md).
 
 ## Installation
 

articles/stream-analytics/develop-locally.md

@@ -1,16 +1,16 @@
 ---
 title: Develop and debug Azure Stream Analytics jobs locally 
 description: Learn how to develop and test Azure Stream Analytics jobs on your local computer before you run them in Azure portal.
-ms.author: sujie
-author: su-jie
+ms.author: zhenxilin
+author: alexlzx
 ms.topic: conceptual
-ms.date: 03/31/2020
+ms.date: 12/27/2022
 ms.service: stream-analytics
 ---
 
 # Develop and debug Azure Stream Analytics jobs locally
 
-While you're able to create and test Azure Stream Analytics jobs in the Azure portal, many developers prefer a local development experience. Stream Analytics makes it easy to use your favorite code editor and development tools to create and test jobs with live event streams from Azure Event Hub, IoT Hub, and Blob Storage using a fully functioned single node local runtime. You can also submit jobs to Azure directly from your local development environment.
+Apart from creating and developing an Azure Stream Analytics job in the Azure portal, you can set up a Stream Analytics job using a developer tool on your computer. Azure Stream Analytics (ASA) allows you to use your favorite code editor e.g. Visual Studio Code to build and test query locally with live data streams from Azure Event Hub, IoT Hub, Blob Storage and other Azure resources. The ASA developer tool creates a fully functional node in local runtime to run your Stream Analytics job. You can also submit your local Stream Analytics jobs to Azure and change the job running status. This's a convenient way to build, test and manage your Stream Analytics jobs.
 
 ## Local development environments
 
@@ -21,15 +21,9 @@ The environments in the following table support local development:
 |Environment                              |Description    |
 |-----------------------------------------|------------|
 |[Visual Studio Code](visual-studio-code-explore-jobs.md)| The [Azure Stream Analytics Tools extension](https://marketplace.visualstudio.com/items?itemName=ms-bigdatatools.vscode-asa) for Visual Studio Code allows you to author, manage, test your Stream analytics job both locally and in the cloud with rich IntelliSense and native source control. Supports development on Linux, MacOS and Windows. To learn more, see [Create an Azure Stream Analytics job in Visual Studio Code](quick-create-visual-studio-code.md). The extension also supports [Visual Studio Codespaces](https://visualstudio.microsoft.com/services/visual-studio-codespaces/) which is a cloud-hosted dev environment.|
-|[Visual Studio 2019](stream-analytics-tools-for-visual-studio-install.md) |Stream Analytics Tools is part of the Azure development and Data storage and processing workloads in Visual Studio. You can use Visual Studio to write custom C# user-defined functions and deserializers. To learn more, see [Create an Azure Stream Analytics job by using Visual Studio](stream-analytics-quick-create-vs.md).|
 |[Command prompt or terminal](stream-analytics-tools-for-visual-studio-cicd.md)|The Azure Stream Analytics CI/CD NuGet package provides tools for Visual studio project build, local testing on an arbitrary machine. The Azure Stream Analytics CI/CD npm package provides tools for Visual Studio Code project builds (which generates an Azure Resource Manager template) on an arbitrary machine.|
 
-> [!NOTE] 
-> We strongly recommend using [**Stream Analytics tools for Visual Studio Code**](./quick-create-visual-studio-code.md) for best local development experience. There are known feature gaps in Stream Analytics tools for Visual Studio 2019 (version 2.6.3000.0) and it won't be improved going forward.
-
 ## Next steps
 
 * [Test Stream Analytics queries locally with sample data using Visual Studio Code](visual-studio-code-local-run.md)
-* [Test Stream Analytics queries locally against live stream input by using Visual Studio Code](visual-studio-code-local-run-live-input.md)
-* [Test Stream Analytics queries locally with Visual Studio](stream-analytics-vs-tools-local-run.md)
-* [Test live data locally using Azure Stream Analytics tools for Visual Studio](stream-analytics-live-data-local-testing.md)
+* [Test Stream Analytics queries locally against live stream input by using Visual Studio Code](visual-studio-code-local-run-live-input.md)

articles/stream-analytics/set-up-cicd-pipeline.md

@@ -2,12 +2,11 @@
 title: Use Azure DevOps to create a CI/CD pipeline for a Stream Analytics job
 description: This article describes how to set up a continuous integration and deployment (CI/CD) pipeline for an Azure Stream Analytics job in Azure DevOps
 services: stream-analytics
-author: su-jie
-ms.author: sujie
-
+author: alexlzx
+ms.author: zhenxilin
 ms.service: stream-analytics
 ms.topic: how-to
-ms.date: 09/10/2020
+ms.date: 12/27/2022
 ---
 
 # Use Azure DevOps to create a CI/CD pipeline for a Stream Analytics job

articles/stream-analytics/visual-studio-code-local-run.md

@@ -2,15 +2,15 @@
 title: Test an Azure Stream Analytics job locally with sample data using Visual Studio Code
 description: How to test queries locally with sample data using Azure Stream Analytics Tools for Visual Studio Code.
 ms.service: stream-analytics
-author: su-jie
-ms.author: sujie
-ms.date: 11/10/2019
+author: alexlzx
+ms.author: zhenxilin
+ms.date: 12/27/2022
 ms.topic: how-to
 ---
 
 # Test Stream Analytics queries locally with sample data using Visual Studio Code
 
-You can use Azure Stream Analytics tools for Visual Studio Code to test your Stream Analytics jobs locally with sample data. You can find the query results in JSON files in the **LocalRunOutputs** folder of your project.
+You can use Azure Stream Analytics tools for Visual Studio Code to test your Stream Analytics jobs locally with sample data. You output results can be found as JSON files in the **LocalRunOutputs** folder of your project.
 
 For more information, see [Overview of local Stream Analytics runs in Visual Studio Code with ASA Tools](visual-studio-code-local-run-all.md).