Ken Muse
Azure Function Trigger Syncing
Sometimes continuous deployment of the code is just not enough to update your Azure Function. The symptoms are simple enough — triggers stop working or the Function stops scaling. In these cases, you need to make Azure aware of the changes. You may need to synchronize.

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Bicep and APIM Template Not Found
Bicep continues to make it easier to create ARM templates … until you have a bad service schema. Here’s how to resolve a Template Not Found error with Bicep and APIM templates.

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Fixing APIM Tags - Name Should Not Be Empty
Creating Tags for APIM using infrastructure-as-code with Bicep should be simple. So why do we get a “Name should not be empty” error? More importantly, let’s discuss how to fix it.

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Dev Containers, Codespaces, and Bicep, Oh My!
Development Containers and Codespaces bring infrastructure-as-code to developer environments. This post walks through creating a container for editing and deploying Bicep templates to Azure.

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Connecting Azure APIM and AppInsights Using Bicep
It can be a bit tricky to create a Bicep template for Azure APIM Management to connect a Logger to Application Insights. Today’s post explores how to make that work (and how to do it with an Azure Key Vault).

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Creating Hidden Links in Bicep

Creating Hidden Links in Bicep

Today’s post shows you how to create a hidden-link and property name string interpolation in Bicep.

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Understanding Long-Running Cloud Tasks

Understanding Long-Running Cloud Tasks

We know that the cloud is optimized for short, fast executions. In today’s we examine a common question – are long-running activities still safe?

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Intro to Data Lake Storage

Intro to Data Lake Storage

You know you want a blob storage solution. You know the basics of Azure Blob Storage. In today’s post, learn how Azure Data Lake Storage Gen2 enhances the experience and creates a foundation for big data.

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Understanding Modern Data Warehouse Storage
Once you understand how to ingest data from an external service, it’s time to store it somewhere. This article will explore some of the options and considerations.

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Modern Data Warehouse Ingestion
The first step in building your modern data warehouse is to ingest the data. Let’s learn how.

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