Book Image

Certified Kubernetes Administrator (CKA) Exam Guide

By : Mélony Qin
4 (1)
Book Image

Certified Kubernetes Administrator (CKA) Exam Guide

4 (1)
By: Mélony Qin

Overview of this book

Kubernetes is the most popular container orchestration tool in the industry. The Kubernetes Administrator certification will help you establish your credibility and enable you to efficiently support the business growth of individual organizations with the help of this open source platform. The book begins by introducing you to Kubernetes architecture and the core concepts of Kubernetes. You'll then get to grips with the main Kubernetes API primitives, before diving into cluster installation, configuration, and management. Moving ahead, you’ll explore different approaches while maintaining the Kubernetes cluster, perform upgrades for the Kubernetes cluster, as well as backup and restore etcd. As you advance, you'll deploy and manage workloads on Kubernetes and work with storage for Kubernetes stateful workloads with the help of practical scenarios. You'll also delve into managing the security of Kubernetes applications and understand how different components in Kubernetes communicate with each other and with other applications. The concluding chapters will show you how to troubleshoot cluster- and application-level logging and monitoring, cluster components, and applications in Kubernetes. By the end of this Kubernetes book, you'll be fully prepared to pass the CKA exam and gain practical knowledge that can be applied in your day-to-day work.
Table of Contents (17 chapters)
1
Part 1: Cluster Architecture, Installation, and Configuration
5
Part 2: Managing Kubernetes
10
Part 3: Troubleshooting

Resource management

Kubernetes allows us to specify the resource requirements of a container in the pod specification, which basically refers to how many resources a container needs.

kube-scheduler uses the resource request information that you specify for a container in a pod to decide on which worker node to schedule the pod. It’s up to kubelet to enforce these resource limits when you specify them for the containers in the pod so that the running container goes beyond a set limit, as well as reserves at least the requested amount of a system resource for a container to use.

It usually gives us the following values:

  • resources.limits.cpu is the resource limit set on CPU usage.
  • resources.limits.memory is the resource limit set on memory usage.
  • resources.requests.cpu is the minimum CPU usage requested to allow your application to be up and running.
  • resources.requests.memory is the minimum memory usage requested to allow your application to be up and...