Day-14 | DevOps Project from Absolute Zero| Project Setup+ CI pipelines implementation| Azure DevOps

This video demonstrates implementing continuous integration (CI) for a multi-microservice application (Python, NodeJS, .NET) using Azure DevOps pipelines. It covers Dockerfile creation, CI pipeline setup, and Azure Container Registry integration, addressing challenges like multi-architecture builds and agent configuration. The application, a simple polling system, is used as a practical example. This segment details a multi-microservice application written in various languages (Python, NodeJS, .NET) with two databases (in-memory and a traditional database). The DevOps team's task is to implement continuous integration for this application, highlighting the complexity and scope of the project. This segment emphasizes the importance of understanding both CI/CD principles and the application's functionality for successful DevOps implementation. It stresses the need to run the application locally to grasp its workings before designing the CI/CD pipeline.This segment provides a clear explanation of the application's functionality. It's a voting application with microservices for voting, storing results in an in-memory data store and a database, and displaying results. The explanation helps viewers understand the application's architecture and workflow. This segment offers a concise explanation of CI/CD, differentiating between continuous integration (CI) and continuous delivery (CD). It clarifies that the video focuses on implementing the CI part, setting the stage for the subsequent CD implementation in a future video. This segment focuses on the practical aspect of creating Dockerfiles for the Node.js microservice. It explains the process of selecting a base image, installing dependencies, setting working directories, and defining entry points. The segment also emphasizes the importance of collaboration with the development team to ensure the Dockerfile accurately reflects the application's needs. This segment details the expert's approach to creating Dockerfiles, emphasizing common elements like dependency files, working directories, entry points, and port exposure. The discussion also touches upon handling multi-architecture builds and the importance of collaborating with development teams to understand application-specific run commands. This segment explains the process of setting up an Azure DevOps project and integrating it with a Microsoft Azure container registry (or Docker Hub as an alternative). It highlights the importance of using consistent subscriptions for Azure DevOps and Azure and choosing a project name and privacy settings. This segment demonstrates how to import a Git repository from GitHub into Azure DevOps, addressing potential issues with default branches and ensuring the main branch is correctly set as the default for CI/CD pipeline triggering.This segment shows how to create an Azure Container Registry within the Azure platform, emphasizing its role as the artifactory for storing Docker images built through the Azure DevOps pipelines. The speaker also explains the creation of a resource group for better organization. This segment provides a high-level overview of the structure of Azure CI/CD pipelines, explaining key components like triggers, resources, variables, stages, jobs, and steps. The speaker emphasizes the importance of understanding these components for effective pipeline creation. This segment focuses on establishing an SSH connection to the Linux VM, navigating the file system, downloading and extracting the agent package, and addressing initial errors encountered during the process. The speaker provides solutions for common problems faced by beginners. This segment details the process of creating a self-hosted agent pool in Azure DevOps, connecting to a Linux virtual machine via SSH, and preparing the VM for pipeline execution. The speaker clearly explains each step, including troubleshooting common connection issues. This segment covers the creation of a personal access token, configuring the agent with the token and pool details, and troubleshooting connection issues between the agent and Azure DevOps. The speaker demonstrates how to resolve errors related to agent configuration and connectivity. This segment focuses on implementing advanced path-based triggers in Azure pipelines. This allows for granular control over pipeline triggering based on changes to specific paths within the repository, improving efficiency and reducing unnecessary builds. This segment explains the importance of installing Docker on the agent machine and granting necessary permissions to the Azure user to allow Docker image building and pushing. The speaker addresses a common error related to Docker access permissions. This segment focuses on the efficient creation of YAML configuration files for multiple microservices. The speaker demonstrates how to reuse and adapt existing configurations to quickly set up pipelines for new services, highlighting the benefits of standardized configurations. This segment shows the successful execution of the Azure pipeline, highlighting the build and push stages. The speaker analyzes the results, discusses potential issues, and explains how to handle them. The successful completion of the pipeline for one microservice is demonstrated.This segment demonstrates the efficiency of reusing configurations for creating pipelines for other microservices. The speaker shows how to quickly set up new pipelines with minimal changes, emphasizing the ease of managing multiple microservices within Azure DevOps. This segment showcases a detailed, step-by-step walkthrough of migrating a GitHub application to Azure Pipelines. The speaker encounters and resolves challenges related to platform changes (Linux ARM64), environment variables, and multi-architecture builds, offering valuable insights into practical problem-solving during the migration process. The demonstration culminates in a successful migration, highlighting the key steps and decisions made throughout the process.