Azure DevOps
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Streamline Databricks Workflows with Azure DevOps Release Pipelines
The process of developing and deploying applications is complex, time-consuming, and often error-prone. The use of release pipelines helps to streamline this process and automate the deployment of code and data. Databricks is a popular cloud-based platform used for data engineering, data science, and machine learning tasks. Azure DevOps is a powerful tool for managing the entire software development lifecycle, including build and release management. In the blog “Streamline Databricks Workflows with Azure DevOps Release Pipelines”, we will explore how to build release pipelines for Databricks using Azure DevOps. We will look at the steps required to set up a pipeline for Databricks. By the end of this post, you will have a good understanding of how to build efficient and reliable release pipelines for Databricks using Azure DevOps.
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!
Unlocking the Full Potential of CI/CD Pipeline for Azure Kubernetes Services
Are you looking to set up a CI/CD pipeline for AKS (Azure Kubernetes Service) but don’t know where to start? Look no further. In this article, we will cover the basics of setting up a CI/CD pipeline with Azure DevOps – from creating builds and releases, deploying resources, automating deployment processes with Azure Pipelines, and best practices for configuring pipelines. By the end of this guide, you’ll have everything you need to get your CI/CD pipeline up and running in no time! So let’s dive right in!
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.
Building and pushing Docker images to Azure Container Registry with Azure DevOps Pipelines.
When it comes to DevOps Docker is an integral part of it. Nowadays no development can be done without the help of docker. In this article, we will discuss how can we use Azure DevOps Pipeline to build and push images to the Azure container registry.