azure-functions-openapi-extension VS starter-workflows

You can probably get some useful information from this page (and related ones): https://github.com/Azure/azure-functions-openapi-extension/blob/main/docs/openapi-core.md

View on GitHub

Since the latest version (0.9.0-preview) of the OpenAPI extension for Azure Functions was released, it supports the byte array types. With this support, you can now define the binary data type like image files onto the OpenAPI document. Throughout this post, I'm going to discuss how to declare the binary data and transfer it through the Azure Functions OpenAPI extension.

Azure security baseline for Azure Functions well describes the security consideration in general while developing an Azure Functions application. In addition to that, Azure Functions offers a built-in authentication method through the functions key. If you use the OpenAPI extension for Azure Functions, you can define the endpoint authentication and authorisation for each API endpoint in various ways. You can even try them through the Swagger UI page. Throughout this post, I'm going to discuss six different approaches for access control to Azure Functions API endpoints using the OpenAPI extension.

Now, suppose, we need to talk to Azure SQL. So, we’d like to add EF Core to the mix. As much as we love to go for latest and greatest, unfortunately it’s a bit messy at the moment. Instead let’s get a bit more conservative and stick to EFCore 3.1.

There is an open issue about this in the Azure repo.

Azure Functions OpenAPI Extensions

Here's the straightforward Azure Function app code. I'm using the Azure Functions OpenAPI extension in this app. It has only one endpoint like below:

In May this year at //Build, Azure Functions OpenAPI support feature (preview) was officially announced. At that time, it supported up to the v3 runtime – .NET Core 3.1 version. Recently, it has released .NET 5 isolated worker supporting package as a preview. Throughout this post, I'm going to review how to use it and deploy it to Azure.

Azure Functions used as the backend API adds the OpenAPI extension, which increases discoverability.

GitHub, as one of the leading web-based Git repository hosting service, provides a powerful suite of CI/CD tools in the form of GitHub Actions. These are directly integrated into the platform which empowers developers to increase the speed, efficiency and reliability of delivering products. In this brief article, we will take a look at what CI/CD is, why we should use it, as well as some of its applications in my projects.

GitHub Actions is a modern CI/CD tool integrated natively on GitHub. Itenables the rapid automation of build, test, deployment, and other custom workflows on GitHub with no need for external tools.

GitHub Actions is GitHub's CI/CD solution. You can use it to run automated tasks each time you change your code. Although the platform lacks a built-in Kubernetes integration, third-party plugins such as Azure's Deploy to Kubernetes Cluster action can automate deployments and manage different rollout strategies.

GitHub Actions is a feature-rich CI/CD platform embedded within GitHub, enabling developers to automate, customize, and execute software development workflows directly in their repositories. An Action inside GitHub Actions is a discrete unit of automation that performs a specific task within a workflow. All the Actions are reusable, and there are many to choose from. You can even create your own reusable ones.

actions/starter-workflows

The real power of using PHP code-quality tools is when it’s added to your continuous integration process, which means it automatically checks the code every time someone makes a push or pull request to your project repo. In this section, we'll be looking at how to do just that. GitHub actions is available for free so we'll use it for demo purposes. Note that there are some limits to private repos, so set your test repo to public if you can.

You can even automate the running of this script — hence the directory name automation — to happen every time the data changes, using GitHub Actions.

# Based on https://github.com/actions/starter-workflows/blob/main/ci/node.js.yml name: CI on: pull_request: branches: - main jobs: ci: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - uses: actions/setup-node@v2 with: node-version: lts/* cache: 'npm' - run: npm ci - run: npm run build --if-present - run: npm test

You might remember that I’ve been taking an interest in GitHub Actions for the last year or so (I even wrote a book on the subject). And at the Perl Conference in Toronto last summer I gave a talk called “GitHub Actions for Perl Development” (here are the slides and the video).