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--- title: Continuous integration and continuous deployment description: This article gives an overview of setting up a continuous integration and deployment (CI/CD) pipeline for Azure Stream Analytics jobs. author: alexlzx ms.author: zhenxilin ms.service: azure-stream-analytics ms.topic: how-to ms.date: 01/23/2025 # Customer intent: As a developer, I want to learn how to set up a CI/CD pipeline for Azure Stream Analytics jobs. --- # Continuous integration and continuous deployment (CI/CD) of Stream Analytics jobs You can build, test, and deploy your Azure Stream Analytics (ASA) job using a source control integration. Source control integration creates a workflow in which updating code would trigger a resource deployment to Azure. This article outlines the basic steps for creating a continuous integration and continuous delivery (CI/CD) pipeline. ## Create a CI/CD pipeline Follow the steps to create a CI/CD pipeline for your Stream Analytics project: 1. Create a Stream Analytics project using VS Code. You can either create a new project or export an existing job to your local machine using the ASA Tools extension for Visual Studio Code. * [Quickstart: Create a Stream Analytics job using VS Code](./quick-create-visual-studio-code.md) * [Export an existing job](visual-studio-code-explore-jobs.md) 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. 4. Run [automated script tests](cicd-tools.md#automated-test) for quality regression. 5. [Deploy the job](cicd-tools.md#deploy-to-azure) to Azure automatically. ## Auto build, test, and deploy You can use the command line and [Azure Stream Analytics CI/CD tools](cicd-tools.md) to auto build, test, and deploy. You can also set up a CI/CD pipeline in [Azure Pipelines](set-up-cicd-pipeline.md). Azure Pipelines to enable more advanced capabilities, such as pipeline management, visualization, and triggers. ## Related content * [Automate builds, tests, and deployments of an Azure Stream Analytics job using CI/CD tools](cicd-tools.md) * [Set up a CI/CD pipeline for Stream Analytics job using Azure Pipelines](set-up-cicd-pipeline.md)