Tag: AI

List Keys for Azure Managed Redis with Bicep

Recently Azure has announced retirement of Azure Cache for Redis and Azure Cache for Redis Enterprise. This of course leads folks to look at Azure Managed Redis. Note that underneath Azure Cache for Redis and Azure Managed Redis use the same resource type but with different SKUs. Overall my general impression is that not many existing customers have moved from Azure Cache for Redis to Azure Cache for Redis Enterprise. The integration with Redis to other services and applications in most cases happen via providing connection string with credentials. It is well known how to list the credentials from Azure Cache for Redis with Bicep but may be it is not so known with how to do that with Azure Managed Redis due its different Azure architecture.

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Deploying Azure APIM MCP Servers with Bicep

Azure API Management (APIM) service is one of the building blocks for AI applications. At the same time MCP (Model Context Protocol) server is one of the latest capabilities around AI. Not so long ago APIM announced support for exposing either existing MCP servers or existing APIs as MCP servers. I have played around with this functionality lately and what it turned out is that these MCPs Servers in APIM are just API resource underneath which means it can be easily deployed with Azure Bicep. In this blog post I will show you how to do it with examples.

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Generate Documentation for Azure Bicep Modules with GitHub Copilot

Bicep modules provide this awesome feature to be able to create schema for your Bicep modules via User-defined data types. When you reference Bicep module in bicep template or bicep parameters file you get nice intellisense in VSC to understand the structure of the parameters, whether they are required or not and additional information. This is the same experience when you start to define a resource. I was one of the first requestors and adopters of the feature and I heavily use it every day. Although the feature provides great experience within VSC there is still a need to document that schema in some other place just like it is done for Azure resource. This trivial task is not so easy to do but today I will show you how easy it is by using GitHub Copilot.

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