With the vast number of innovations in the DevOps space—and more arriving all the time—it's hard for businesses to know which DevOps developments warrant their attention and which can be forgotten. Here's how to tell the difference.

Windows Support went GA for Kubernetes in version 1.14 and represented years of work. This has been the effort of excellent engineers from companies including Microsoft, Pivotal, VMWare, RedHat, and the now-defunct Apprenda, among others. I’ve been a lurker and occasional contributor to the sig-windows community going back to my days with Apprenda, and I’ve continued to follow it in my current role with Rancher Labs.

Debugging performance issues in production can be a pain and, in some cases, impossible without the right tools. Java profilers have been around forever, but the profilers most developers think about are only one type: standard JVM profilers. However, using one type of profiler is not enough. Suppose you’re analyzing your application’s performance. There are multiple profiling activities which you may execute.

What is the bare minimum you need to build, test and run your Java application in Docker container? The recipe: Create a separate Docker image for each step and optimize the way you are running it. I started working with Java in 1998, and for a long time, it was my main programming language. It was a long love–hate relationship. During my work career, I wrote a lot of code in Java. Despite that fact, I don’t think Java is usually the right choice for microservices.

Chaos engineering (CE) is the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production. This approach is becoming commonplace in software development and operations (DevOps) practices. But how would its application extend to ITOps? CE for ITOps offers a similar framework for stress-testing a technology platform to understand its weak points and performance pitfalls under heavy pressure.