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Maximizing Collaboration and Productivity: Azure DevOps and Databricks Pipelines
Data is the backbone of modern businesses, and processing it efficiently is critical for success. However, as data projects grow in complexity, managing code changes and deployments becomes increasingly difficult. That’s where Continuous Integration and Continuous Delivery (CI/CD) come in. By automating the code deployment process, you can streamline your data pipelines, reduce errors, and improve efficiency. If you’re using Azure DevOps to implement CI/CD on Azure Databricks, you’re in the right place. In this blog, we’ll show you how to set up CI/CD on Azure Databricks using Azure DevOps to improve efficiency, maximize collaboration and productivity, and unlock your team’s full potential and produce better results. Let’s get started!
How to deploy multi-container application to Azure Kubernetes Services?
Azure Kubernetes Services is the fastest way to use Kubernetes on Azure. Azure Kubernetes Service (AKS) manages the hosted Kubernetes environment, making it easy to deploy and manage containerized applications without requiring any container orchestration expertise. It also improves the agility, scalability, and availability of your containerized workloads. Azure DevOps streamlines AKS operations by providing continuous build and deployment capabilities.
In this blog, we will use Azure DevOps to deploy a containerized ASP.NET Core web application to an AKS cluster. The steps used in this blog can be used to deploy any application to AKS. The entire end-to-end demo is available in the video link provided in the blog.