Kubernetes on Raspberry Pi

Lou Mauget Cloud, Development Technologies, Kubernetes, Tutorial Leave a Comment

Kubernetes, or k8s, is an important container orchestration platform. In this blog, I’ll describe creating a workable Kubernetes cluster implemented on a stack of four Raspberry Pi boards. In the end, I’ll have provided an outline of how I created it and I’ll show how to replicate a stateless app across Kubernetes pods running on the nodes — the Pi boards.

Batching Excel Files in Azure to Order DME

Zach Gardner Architecture, Azure, Tutorial Leave a Comment

The steps described in this blog post allow for the adding of a Logic App on Azure to append rows to an Excel file. It took a lot of trial, and mostly error, to figure out how to describe what I wanted in the way that the Logic App would understand. Hopefully, the steps that I outlined in this blog post will save others the time it took me to come up with them.

VS Code’s Development Container: A Stepping Stone To IaC

Luke Patterson AWS, Development Technologies, DevOps, Tutorial Leave a Comment

In this post, l explain how we used Visual Studio Code’s Development Container feature as a stepping stone in our long-term effort to achieve Collaborative Infrastructure as Code. This one step in the process gave a versioned, repeatable working environment and allowed us time to determine the next steps in the effort to achieve IaC.

Bridging the Gap: Azure App Insights to On-Prem Elastic Stack

Zach Gardner Azure, Development Technologies, Tutorial 1 Comment

Recently, while working for a large healthcare client in New York, I ran into an interesting problem that had slim literature on how to solve it.

Our application is primarily on-prem, but it does leverage Azure for a few functions that are easier to solve in a cloud-native environment. We wanted to be able to monitor those functions using the same Elastic Stack that we use to monitor our on-prem application.

I was tasked with building a bridge between where our functionality logs to in Azure (App Insights), and getting that securely back into our Elasticsearch instance that powers our Elastic Stack.

This blog post will detail the solution I landed on. I hope it will be useful to others that need to solve a similar problem!