15 posts tagged with "GitHub Actions"

This post is a follow on from the post Using AZD for faster incremental Azure Container App deployments in Azure DevOps. In that post, we looked at how to speed up deployments of Azure Container Apps in Azure DevOps using the Azure Developer CLI (azd). In this post, we're going to look at how to speed up deployments of Azure Static Web Apps in GitHub Actions using azd.

There's going to be some overlap between the last post and this one. I don't want to force you to read them both, so I'll duplicate some of the content from the previous post here. But I'll also add some new content that's specific to deploying Azure Static Web Apps in GitHub Actions with azd.

Bicep has had linting since version 0.4.1. It's a great way to ensure that your bicep files conform to best practices. Interestingly, when the linting feature first shipped, there wasn't an explicit lint command as part of the CLI. Instead, you had to run bicep build and it would run the linter as part of the build process. This was a little confusing as it was not obvious that the linter was running.

As of version 0.21.1 there is a dedicated bicep lint command. This is a nice step forwards; it allows you to explicitly lint your your code, rather than have it happen as a side effect of build. And it is useful if you want to run the linter as part of a CI/CD pipeline. What's more the bicep lint command is now available in the Azure CLI as well. You can run az bicep lint to lint your bicep files.

In this post we'll look at how to run lint Bicep in Azure Pipelines and GitHub Actions, and surface the output in the UI.

Azure Static Web Apps staging environments allow you to test changes before they go live. This post shows how to use Playwright against staging environments with GitHub Actions. It's a follow up to my previous post on using Lighthouse with Azure Static Web Apps staging environments.

You can use Bicep and GitHub Actions to build and deploy to a static website on Azure Static Web Apps. This post demonstrates how.

Azure Static Web Apps can perform URL redirects using the routes section in the staticwebapp.config.json. However it is limited. This post will demonstrate dynamic URL redirects with Azure Functions.

Azure Static Web Apps can generally build themselves with Oryx. If you need finer grained control of your build, you can with skip_app_build: true and some GitHub Actions.

The dev.to API provides a way to cross post your Docusaurus blogs to dev.to. This post describes how to do that with TypeScript, Node.js and the dev.to API.

Azure Static Web Apps presently fixes to Node.js 14 when building. If you require a different version of Node to build, this can be a problem. This post outlines a workaround.

Lighthouse is a tremendous tool for auditing the performance and usability of websites. Rather than having to perform these audits manually, it's helpful to be able to plug it into your CI pipeline. This post illustrates how to integrate Lighthouse into a GitHub Actions workflow for an Azure Static Web App, and report findings directly in pull requests that are raised.

Jamstack sites have taken the world by storm. There's currently fierce competition between offerings like Netlify and Cloudflare. A new player in this space is Azure Static Web Apps. This post will look at what working with SWAs is like and will demonstrate deploying one using GitHub Actions.

This post shows how to build and deploy two Azure Container Apps using Bicep and GitHub Actions. These apps will communicate using dapr, be built in VS Code using a devcontainer. It will be possible to debug in VS Code and run with docker-compose.

This follows on from the previous post which built and deployed a simple web application to Azure Container Apps using Bicep and GitHub Actions using the GitHub container registry.

It's often desirable to query the outputs of deployments to Azure. This post demonstrates how to do this using the Azure CLI, bash and jq. It also shows how to generically convert deployment outputs to GitHub Action job outputs.

This post shows how to build and deploy a simple web application to Azure Container Apps using Bicep and GitHub Actions. This includes the configuration and deployment of secrets.

This post follows on from the previous post which deployed infrastructure and a "hello world" container, this time introducing the building of an image and storing it in the GitHub container registry so it can be deployed.

If you'd like to learn more about using dapr with Azure Container Apps then you might want to read this post.

Azure Container Apps are an exciting way to deploy containers to Azure. This post shows how to deploy the infrastructure for an Azure Container App to Azure using Bicep and GitHub Actions. The Azure Container App documentation features quickstarts for deploying your first container app using both the Azure Portal and the Azure CLI. These are great, but there's a gap if you prefer to deploy using Bicep and you'd like to get your CI/CD setup right from the beginning. This post aims to fill that gap.

If you're interested in building your own containers as well, it's worth looking at this follow up post.

I'd been meaning to automate the npm publishing of ts-loader for the longest time. I had attempted to use Travis to do this in the same way as fork-ts-checker-webpack-plugin. Alas using secure environment variables in Travis has unfortunate implications for ts-loader's test pack.