Scale Your Cluster With KubeKey: Best Practices To Make Life Easier for Kubernetes Cluster Operators

In my last post, I demonstrated how to set up a three-node Kubernetes cluster using KubeKey. As I mentioned in the article, KubeKey is a lightweight, powerful installer that is able to install Kubernetes as well as its related add-ons in a quick and convenient way. In fact, KubeKey can do way more than that as it is also an efficient tool to scale your Kubernetes cluster.

On some cloud platforms, you can directly scale your cluster by increasing or decreasing the number of nodes. Usually, this does not entail complex operations as these platforms will do almost everything for you and you only need to click a few buttons. However, in some on-premises environments, you may need to manually change the number of nodes. In this article, I am going to demonstrate how to scale out and scale in your cluster using KubeKey. The steps are listed as follows:

Graph Algorithms in Neo4j: Label Propagation

Graph algorithms provide the means to understand, model, and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups.

This blog series is designed to help you better utilize graph analytics and graph algorithms so you can effectively innovate and develop intelligent solutions faster using a graph database like Neo4j.