This is the first post in a new series I’m writing on Azure’s Application Insights (AI) service. The goal of the series is to walk through some of the basics for monitoring your Azure hosted services with Application Insights. We will cover topics like instrumentation, monitoring dashboards, and paging alerts.
In this post we have a look at code instrumentation: What is it? What are SLIs? How do we use the Application Insights client libraries? What are some instrumentation best practices?
A little over a year ago I wrote up a tutorial on how to visually highlight blocked work items on a sprint board for Visual Studio Team Services. VSTS re-branded as Azure DevOps soon after I published that post and so some of the UI instructions have changed slightly now. I decided to make a follow up that runs through the exact same procedure but under the newer Azure DevOps re-branded UI.
Visually highlighting blocked work items is great way for developers, PMs, and the product owner to glance at the board to see blockers without having to deep dive into work items or run extra queries. Read on to find out how it’s done.
Deploying Azure Resource Manager (ARM) templates with the Azure PowerShell command New-AzureRmResourceGroupDeployment can fail for a variety of reasons. One of the more confusing situations can occur when handling template validation errors (Code=InvalidTemplateDeployment). This is because sometimes additional context is missing from the Exception and you have to lookup more information into order to troubleshoot the issue. In this post we will take a closer look at this particular error and how to resolve it.
Docker is a powerful container platform originally designed for Linux, but quickly became popular enough to receive native support on Windows. I first read Docker training material that took more of a Linux-first approach and loved what I saw. However my day-to-day work is still typically Microsoft/Azure stack so I was looking for a good book that takes on the nuances of working with Docker in a Windows or Azure environment.
I found Docker on Windows: From 101 to Production with Docker on Windows by Elton Stoneman to be really helpful for that purpose. This post is my quick review of the 1st edition.
Building scalable systems for the cloud involves leveraging unique design patterns specific to cloud services. In Bill Wilder’s book, Cloud Architecture Patterns: Using Microsoft Azure, he walks through these patterns in detail with practical examples for Microsoft Azure. Although this book is now several years old, most of the patterns still hold up today.
A couple years ago I wrote a PowerShell module starter kit (here). The goal was to provide an example for organizing a module using best practices and provide a live repository you could clone and play around with.
I’ve taken that starter kit module and updated it for 2019. Incorporating some new best practices and new usage patterns that I find helpful. Head over to the GitHub link to check it out!
If you’ve ever run a database package (.dacpac) publish against a SQL Server or Azure SQL database, chances are good that you have run into the following error when changing the schema for a table that contains data:
SQL72014: .Net SqlClient Data Provider: Msg 50000, Level 16, State 127, Line 6 Rows were detected.
The schema update is terminating because data loss might occur.