I recently needed to set KEDA scaling rules on an Azure Container app that used the number of messages in a Service Bus queue. There’s plenty of info out there on the internet about scaling rules, but not when it comes to Service Bus, so I’m writing up what I learned here.
When working on a project recently I needed to deploy a Container App Environment within a virtual network in Azure. Thanks to the joys of internet search, I started off reading the wrong bits of the official documention and got incredibly confused, and much of the community content about this uses out of date schemas and code. This article is so I don’t need to go through that again, and hopefully it will help others, too.
If you’re hosting your application infrastructure in Azure and consolidate the diagnostic and audit information from your services into Log Analytics or elsewhere, it’s pretty easy to do using Bicep. It’s not very well documented, however, which is the reason for this post.
Bicep is a great improvement over ARM Templates but doesn’t remove the need to validate our code at build time. I could continue to use the ARM-TTK and validate the generated template, but bicep has it’s own built in rules. Getting build errors in a way that can provide meaningful information in my CI/CD tooling is an interesting challenge.
