We’re excited to announce a new KubeAcademy course—Building Images. Designed for developers, devops engineers, and architects, this intermediate-level course covers different approaches for building images. Completing it will give you the skills and understanding needed to easily start building images and maintain them over time.

The previous two posts in this series walked through both the architecture of the Tanzu Kubernetes Grid (TKG) Service for vSphere and how to use it to deploy Tanzu Kubernetes clusters. In this post, we’ll walk through how to take a cluster and scale it on demand. The examples shown are consistent with the same tag-demo-cluster-01 cluster spec used previously.

Every day, application programming interfaces (APIs) are created to speed up the development of modern software applications—from globally-scaled public services to internal endpoints for your proprietary applications. For engineering leaders with teams that write and maintain APIs, however, it can be difficult to know how to prioritize API features, encourage adoption, and respond to feedback from developers. And as we at VMware Pivotal Labs well know, rapid iteration leads to product success.

This post is part of a series that examines some of the fundamentals of creating, utilizing, and managing Tanzu Kubernetes clusters with the Tanzu Kubernetes Grid (TKG) Service for vSphere. If you need a primer to understand the basic concepts, make sure you read vSphere 7 — Introduction to Tanzu Kubernetes Grid Clusters. And if you haven’t already, this would also be a good time to read An Elevated View of the Tanzu Kubernetes Grid Service Architecture, the first post in the series.