Skip to main content

Azure Static Web App–Deploying to multiple environments

As a follow-up on the presentation I did at CloudBrew about Azure Static Web Apps I want to write a series of blog posts.

So far we have deployed our application to one environment, the production environment. Your custom domain points to this environment, and content served from this location is indexed by search engines.

However it is possible to use 3 other types of (staging) environments:

  • Pull requests: Pull requests against your production branch deploy to a temporary environment that disappears after the pull request is closed. The URL for this environment includes the PR number as a suffix. For example, if you make your first PR, the preview location looks something like <DEFAULT_HOST_NAME>-1.<LOCATION>.azurestaticapps.net.

  • Branch: You can optionally configure your site to deploy every change made to branches that aren't a production branch. This preview deployment is published at a stable URL that includes the branch name. For example, if the branch is named dev, then the environment is available at a location like <DEFAULT_HOST_NAME>-dev.<LOCATION>.azurestaticapps.net.

  • Named environment: You can configure your pipeline to deploy all changes to a named environment. This preview deployment is published at a stable URL that includes the environment name. For example, if the deployment environment is named release, then the environment is available at a location like <DEFAULT_HOST_NAME>-release.<LOCATION>.azurestaticapps.net.

Remark: If you are using the Free plan, you are limited to 3 staging environments. The Standard plan gives you 10 staging environments.

Before we can start using staging environments, we need to update our Github Actions workflow and explicitly specify our production environment in the static-web-apps-deploy step:

Now we can specify a PR trigger to create a PR environment:

Or add extra branches that should result in extra environments:

Remark: If you want to create an environment for every branch, you can specify “**” instead of the list of branch names

It is also possible to deploy to a specific named environment, therefore you need to specify the deployment_environment value in the static-web-apps-deploy step:

You can watch the list of deployed environments in the Azure Portal:


More information

Preview environments in Azure Static Web Apps | Microsoft Learn

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...

A complex system designed from scratch never works

A few years ago, I worked as an architect on a big mainframe rewrite. I still count it as one of my failures. Not because the technology was wrong, but because I couldn't convince the management team to simplify the approach. Years later, the organization is still struggling to get the new system up and running. I left the project at the time, because I couldn't put my name behind an approach that would take very long and cost a lot of money without a working system to show for it along the way. Gall’s Law That memory keeps coming back to me, because it's a textbook case of Gall's Law playing out in real life. Gall's Law , from John Gall's Systemantics , states it plainly: A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works, and it cannot be patched to make it work. You have to start over with a simple system that works. What does that mean in practice,...