In Azure Data Factory, continuous integration and delivery (CI/CD) means moving Data Factory pipelines from one environment (development, test, production) to another. Azure Data Factory utilizesAzure Resource Manager templatesto store the configuration of your various ADF entities (pipelines, datasets...
In ”Copy Files” – customize the step to copy built war file and “iac” directory with configuration On the Triggers tab, enable continuous integration (CI). This tells the system to queue a build whenever new code is committed. Save and Queue the build. Infrastructure Provisioning R...
In this tutorial, you learn how to:Create an application template Walk through the application templatePrerequisitesAn active Azure subscription. If you don't have an Azure subscription, create a free account before you begin.Create applicationTo create your IoT Central application:...
Continuous integration Continuous delivery Infrastructure as code Monitoring and logging Validated learning Deepen your DevOps learning with these tasks Now that you’ve learned the key concepts in a DevOps practice, take a moment to answer the following questions: What parts of your developm...
It shows you how to set up continuous integration and continuous deployment (CI/CD) for an Azure Service Fabric application by using Azure Pipelines. To complete the tutorial, you must have an existing Service Fabric application. This tutorial uses the application that is described in part one...
This track is useful in continuous integration and continuous delivery (CI/CD) or GitOps scenarios, where CLI/YAML is preferred. Prerequisites Before you proceed with this tutorial, be sure to cover these prerequisites: An Azure Machine Learning workspace. For more information about workspace ...
Here is the GitHub repository with all resources used in this tutorial:https://github.com/pascalvanderheiden/ais-sync-pattern The architecture is based on the Basic Enterprise integration pattern:https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/enterpr...
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In order to get started with Azure DevOps and Azure pipelines (YAML-based) and link it with your source code in GitHub, check this simple tutorial: Create your first pipeline Once you have an empty Azure pipeline, you can start implementing it as the following. This is pretty much the ...