Python is increasingly becoming the preferred high-level and general-purpose programming language for application developers. State-of-the Python applications leverage cloud computing for reasons ranging from improved scalability, better accessibility, greater flexibility, higher efficiency, excellent security, and so on.
Azure is one of the most widely used public-cloud services for deploying Python applications. It provides a host of features to build and deploy Python applications in the cloud, and even extend their capabilities with Artificial Intelligence (AI) and data science. In this article, let us delve into Azure DevOps for Python applications, an important capability in the rich feature-set on Azure for Python.
Why Use Python on Azure?
Not only can Python code be deployed to Azure for web apps, serverless apps, containers, and machine learning models, but Azure also offers a rich set of libraries software development kit (SDK) for accessing Azure services such as storage, databases, pre-built AI capabilities programmatically. Here are some of the uses of Python on Azure.
Developing web applications
With Azure managed services for both relational and non-relational databases, Python application development and deployment is significantly simplified. Developers can focus on coding on the Azure serverless platform with Azure Web Apps on Linux or Azure Functions, rather than spending resources on their backend-infrastructure.
Data science applications
Azure Machine Learning can be used to build, train, and deploy models with Python SDK. It provides a fully configured and managed development environment in the cloud. There are also prebuilt intelligent APIs for vision, speech, language, knowledge, and search, which can be used with a few lines of code.
Azure provides various integrations and services to build and test Python applications. We will elaborate on this aspect in the next section.
How to Use Azure DevOps for Python Applications?
Developers can set up continuous integration (CI) and continuous delivery (CD) pipeline for Python applications in Azure Pipelines using Azure DevOps Starter. Here is how Azure DevOps can be used for developing, deploying, and monitoring Python applications.
- Create a CI/CD pipeline in Azure Pipelines, and other Azure resources using DevOps Starter with DevOps Starter.
- Select the sample framework for the Python application, which would dictate the type of Azure service deployment.
- Add a project in Azure DevOps. This will result in the appearance of the Starter dashboard in the Azure portal. The Python application will be set up in a repository, a build will be executed, and DevOps Projects will automatically configure a CI build and release trigger.
- Allow team members to collaborate on the Python app in a Git repository in Azure Repos or GitHub and commit code changes using a CI/CD process.
Apps4Rent Can Help with Managed Services for Azure DevOps
Azure DevOps is one the fastest and easiest solutions to plan, build, and ship Python applications and software across a variety of platforms. Yet, many developers and enterprises continue to use on-premises instances for deploying their Python applications, and migrating them to the cloud requires expertise especially in ensuring the current database schema version is close to that of Azure DevOps.
As a Tier 1 Microsoft CSP, Apps4Rent provides managed Azure services for upgrading and migrating from the on-premises infrastructure to Azure DevOps. Contact our Microsoft certified Azure experts, available 24/7/365 via phone, chat, and email for assistance.
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