@Yogesh Jain Thanks for reaching out.
The Blueprint concept from the Azure Function App V1 model is not directly applicable to the V2 model. However, you can achieve similar functionality by using Azure Functions Proxies. Proxies allow you to define routes and route templates that map to your function endpoints. This can help you organize your functions and provide a more structured API surface. You can learn more about Azure Functions Proxies in the official documentation.
For your second question, there are several best practices for building a CI/CD pipeline. Here are a few suggestions:
- Use a source control system like Git to manage your codebase. This will allow you to track changes, collaborate with your team, and roll back changes if necessary.
- Use a build system like Azure Pipelines to automate your build and deployment process. Azure Pipelines can be configured to build your Python code, run tests, and deploy your code to Azure Functions and APIM.
- Use a package manager like pip to manage your Python dependencies. This will make it easier to install and update your dependencies, and ensure that your code is using the correct versions of each package.
- Use environment variables to store sensitive information like connection strings and API keys. This will help you keep your secrets secure and separate from your codebase.
- Use automated testing to ensure that your code is working as expected. This can include unit tests, integration tests, and end-to-end tests.