Overview
Azure has progressed itself more than just a cloud; it has evolved into a crucial piece of infrastructure for the globalized world and will be a key component of the data and AI waves of the future.
Therefore learning about Azure and Azure Pipelines may prove beneficial to you in the future!
So quickly have a glance at the topics to be covered:
Points at a Glance:
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Let’s break the ice and understand the terms, “Azure and Azure DevOps Pipeline”
What is Azure DevOps?
- Software as a service (SaaS) platform from Microsoft called Azure DevOps offers an entire DevOps toolchain for creating and deploying software.
- The SQL server’s back end serves as the foundation for the Azure DevOps Server.
- It is only preferable when users require that the data remain or be stored within their specific networks.
- In addition, it is employed when users need access to SQL Server’s reporting services in order to integrate them with DevOps server tools and data.
- Almost any project involving the development of code or an application can be completed using Azure DevOps.
- It is intended to increase collaboration during coding, make testing simpler, and speed up deployment.
What is Azure Pipeline?
The buzzword ”Azure Pipeline” is trending nowadays, so let’s discuss all about it:
- The most recent DevOps user interface refers to Builds as Pipelines.
- Azure Pipeline (also known as Build or Build Pipeline) is a representation of CI (continuous integration).
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What is Azure DevOps Pipeline?
- Azure Pipelines: An additional service provided by Azure that has an automated set of procedures that assists programmers in compiling, establishing, and deploying code on other computing platforms, before making them available to others.
- It consistently constructs and verifies the code to eventually deliver a high-performing, high-quality product.
- It aims to use continuous integration and continuous delivery and is built on the solid foundations of CI/CD pipelines, which consistently check, create, and implement.
- It is compatible with almost every language, including Python, Android, C, PHP, C++, and others.
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Why Azure DevOps Pipeline?
- Consistent and high-quality code that is easily accessible to users is made possible by the implementation of CI and CD pipelines.
- Additionally, Azure Pipelines offers a rapid, simple, and secure method for automating the development of your projects and their distribution to users.
The following scenarios are supported by Azure Pipelines, because of which it becomes ideal to make use of Azure DevOps Pipeline:
- Collaborates on open-source projects
- Builds on computers running Windows, Linux, or Mac.
- Works on any platform or language
- Incorporate Azure deployments
- Deployed simultaneously to multiple target types.
- Connects to GitHub
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How can one build the first Pipeline in Azure: Python?
- The initial step to create your first Pipeline via Python is to fork the following repository into your GitHub account.
https://github.com/Microsoft/python-sample-vscode-flask-tutorial
- Then Go to your project after you have logged into your Azure DevOps organization.
- The next step is to navigate to Pipelines and then choose a New pipeline.
- After you have decided to use GitHub as your source code repository, make sure to follow the wizard’s instructions.
- Once you have decided, you may be taken to GitHub through redirection to log in.
- After reaching GitHub, Enter your GitHub credentials.
- Then, Choose your repository from the list of repositories.
- To install the Azure Pipelines application, you might again be redirected to GitHub. Choose Approve & install to allow the system to install Azure Pipelines.
- Your repository will be examined by Azure Pipelines, which will then automatically suggest the Python package pipeline template to you.
- Make sure to examine the YAML when your new pipeline appears to see what it does. When you are done, choose Save and run.
- A prompt message would be displayed stating: A new azure-pipelines.yml file needs to be added to your repository.
- After reading the message, choose Save and try running it again.
- Choosing the build job will allow you to see your pipeline in action.
- The YAML pipeline (azure-pipelines.yml) in your repository is now operational and available for customization.
- When it’s time to make changes to your pipeline, select it from the Pipelines page and then open the azure-pipelines.yml file in an editor.
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That’s it, you have successfully created your pipeline!!
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Features of Azure DevOps Pipelines
Now you can deliver the majority of open source projects thanks to quick continuous integration/continuous delivery (CI/CD) pipelines.
Azure Pipelines additionally provides you with an abundance of community-built tasks for better customization, assisting you in the development, testing, and deployment of these tasks.
- Language and platform Independent
As was already mentioned, you can choose the operating system of your choice and the programming language(s) you want to use to create your applications, such as Python, Java, NodeJS, Ruby, etc.
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Conclusion
The goal of DevOps is to make software development, deployment, and operations more efficient. Continuous development is the name of the game for everything from code integration to application operations, and the DevOps pipeline is how these concepts are put into action.
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