In this post we will do a complete walkthrough for configuring a new continuous integration (CI) pipeline that builds PowerShell modules in Azure DevOps Pipelines. Formalizing your PowerShell build steps into a CI pipeline helps enforce code quality standards and setup a fully automated process for publishing.
I have covered some of these pieces individually in other posts; for example my module starter kit and linting configurations. However a full post is helpful to tie all the pieces together in a detailed guide.
This is the third and final post in a series I’m writing on Azure’s Application Insights (AI) service. In the previous post we looked at how to create monitoring dashboards in Azure.
Here in this post we run through some examples for how to configure monitoring alerts with built-in Azure resource metrics and custom instrumented events and metrics.
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.