Serverless computing, a model in which the provider manages the server, lets developers focus on writing dedicated pieces of application logic. Serverless computing has been adopted by many development teams because it auto-scales. Auto-scaling relieves developers of allocation management tasks, so they do not need to worry about the allocation of server resources or being charged for resources they are not consuming.

The Gradle Build Cache is designed to help you save time by reusing outputs produced by previous builds. It works by storing (locally or remotely) build outputs, and allowing builds to fetch these outputs from the cache when it determines that inputs have not changed. The build cache gives you the ability to avoid the redundant work and cost of regenerating time-consuming and expensive processes.

The container ecosystem is moving very fast and new tools designed specifically for Kubernetes clusters are introduced at a very fast pace. Even though several times a new tool is simply implementing a well-known mechanism (already present in the VM world) with a focus on containers, every once in a while we see tools that are designed from scratch rather than adapting a preexisting idea. One such tool is Komodor.

Virtual machines (VM) offer great flexibility for hosting web applications. A developer/engineer is able to configure and control every piece of software and every setting that the application needs to run. Azure, one of the largest cloud hosting platforms, has virtual machine offerings for both Linux and Windows-based operating systems. In this tutorial, you will learn how to set up a continuous deployment pipeline to deploy a Node.js application to an Azure virtual machine.