Use case — I want to import a Logic App as an API within my APIM instance. There is no direct way to get the swagger file of a logic app using CLI (at least, I could not figure out). So, detailing the steps to extract the swagger definition of a logic app. I use the generated swagger file to import a Logic App as an API within APIM using Azure CLI ...
There are couple of ways to integrate an APIM with Logic App. The most common use case as far as I know is exposing the Logic App as an API on the APIM. The other scenario is calling a Logic App from APIM. I will provide the APIM policy snippet to call a Logic App. If you are using Managed Identity to authenticate to Logic App (will cover in a separate article), you can skip sending the bearer token. ...
If you have been using Azure App Services for a while to host your API, there is a small chance that you would have encountered the issue with a faulty instance. Your API just doesn’t respond or keeps crashing in a particular instance. And, if your ARR Affinity was enabled, your problems will just be exacerbated. Some users will always be routed to the faulty instance. AFAIK, there are no straight forward way to release an instance that is allotted to you by Azure for the given App Service Plan. Adding more instances and removing instances (scale out / in) will not guarantee that the rogue instance will be released. I will share the approach I took to get rid of the rogue instance. Note that, the approach below needs your app service to be out of rotation and should not be serving incoming requests. ...
There are many options available when it comes to mocking API response, like, JSON server or even having a response JSON file added to your solutions, to cite a few. In this article we will see how Azure function proxies can be used to mock API responses. Azure function provides an elegant option to mock API response using proxies. Using a Azure function proxy, you can provide a mock endpoint which can be used by your team to continue their work till your actual API is ready for integration. ...
Scaling cloud resources dynamically is a fascinating topic. Microsoft Azure provide quite a few ways to dynamically scale resources. This article focuses on creating a scheduled vertical scaling (scaled up/down) of App Services. The approach outlined here can be used for other Azure resource like SQL Databases, Redis Cache or in fact pretty much most of the Azure resources that support scaling. Just to clarify right at the outset, we are talking about vertical scaling (between pricing tiers) and not horizontal scaling (scale in/out) wherein we deal with the number of instances at our disposal. ...