It's time to dig deeper into Kubernetes. You will learn about its API architecture and its internals, how to organize workloads, and look closely at the primary workload element in Kubernetes, the Pod.
It's time to take your Kubernetes admin skills to the next level and dig into how to deploy and manage container-based applications in Kubernetes. In this course, Managing the Kubernetes API Server and Pods, you will gain the ability to deploy, manage, and troubleshoot container-based workloads in Kubernetes. First, you will learn how to use the Kubernetes API and API Server internals. Next, you will discover how to use labels, annotations, and namespaces to organize the largest workloads and how Kubernetes uses labels internally for its own operations. Finally, you will explore how to create, manage, and maintain healthy container-based applications with the primary Kubernetes workload construct, the Pod. When you're finished with this course, you will have the skills and knowledge of creating and maintaining container-based workloads in Kubernetes.
Anthony is the Founder and President of Centino Systems as well as a Pluralsight Author and a Microsoft Data Platform MVP, Linux Expert, and Corporate Problem Solver. Anthony designs solutions, deploys the technology, and provides expertise on business system performance, architecture, and security. Anthony has a Bachelors and Masters in Computer Science with research publications in high performance/low latency data access algorithms and spatial database systems.
Course Overview Hi everyone. My name is Anthony Nocentino, Enterprise Architect and Founder of Centino Systems. Welcome to my course, Managing the Kubernetes API Server and Pods. Are you a systems administrator or a developer that needs to deploy workloads in Kubernetes clusters? If you do, then this is the course for you. First, we'll start off by digging into the Kubernetes API server and learn how it works. We'll learn how to interact with it and its internals of its critical functions in our Kubernetes cluster. Then, we'll learn how to use labels, annotations, and namespaces to help get control over and organize workloads in our clusters. And to wrap it up, we'll look closely at the primary workload construct in Kubernetes, the Pod. We'll learn what they're made of, how they work, and how to keep them online in reporting our application health. By the end of this course, you'll have what it takes to debug issues with your API server and your cluster workloads. You'll learn how to organize and get your arms around your largest Kubernetes workloads and also how to craft the best Pods for your applications. Before this course, you should be familiar with the Linux operating system and administering it at the command line. You should have a firm understanding of TCP/IP‑based networking, and also the fundamental concepts of containers. You'll need to know the core foundations of Kubernetes, like what a cluster is and how to interact with it at the command line. I hope you'll join me on this journey to learn how to deploy and manage workloads in Kubernetes in the course, Managing the Kubernetes API Server and Pods.