Azure

In a previous blog post, I talked about how we can provision an Azure Container App using Bicep and deploying our Bicep template using GitHub Actions. We’ll now turn our attention to updating the images that our Container App uses by building the new image, deploying it to Azure Container registry and then pulling the newly built image from our registry to our Container App. As part of my infrastructure deployment, I defined a container image as part of my Bicep like so: ...

Application uptime is critical for our cloud applications. Using Azure App Service slots, we can implement the Blue/Green deployment pattern to validate that new versions of our application will perform as expected in a production environment, without causing downtime to our existing version of our application. With App Service slots, we can deploy new versions of our container images to our Green slot, run tests against that slot to ensure that everything is working and then direct incoming traffic to our updated container image. ...

Using Bicep, we can deploy and manage all the resources required for our Azure Container Apps. In this post, we’ll write a Bicep template that defines all the infrastructure required for our Container App and deploy it using the AZ CLI. In our Bicep template, we’ll be deploying the following resources: A Log Analytics workspace. Azure Container Registry An Azure Container App Environment A Container App. Before we kick this off, it’s REALLY IMPORTANT to note that Container Apps is currently in preview! That means what I publish in my present might/will change in your future! One example of this is that the namespace that Container Apps currently reside in will be changing in March 2022, as referenced in this GitHub issue (Note to self, update this article!) ...

In Azure App Configuration, we can implement feature flags that allows us to decouple feature releases from code deployment and allows us to implement changes quickly to feature availability on demand. This allows us to test new features in production, turn features on or off without having to redeploy our code and wrap features around application functionality that we’re currently developing. There are some basic concepts to understand when working with feature management in Azure App Configuration: ...

In this post, I’ll explain what Bindings are in Azure Functions, How they currently work with in-process Functions and how for isolated functions, they work a little differently. What are Bindings? In Azure Functions, we use Bindings as a way of connecting resources to our functions. We can use input and output bindings and the data from our bindings is provided to our Functions as parameters. We can be flexible in the way that we use Bindings! We can use a combination of Input and Output bindings or none at all (using Dependency Injection instead). ...