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

Managing logs at the cluster node and Pod levels

Logs are very handy when it comes to troubleshooting issues. The information collected in a log is usually helpful in understanding what has happened, figuring out why certain issues happened, and finding remediations to prevent them from happening again later on.

Cluster-level logging

In Kubernetes, the notion of cluster-level logging is widely recognized. This means logs are meant to be stored in a separate backend, so the lifecycles of those logs are independent of what’s been logged down to the worker node, pod, or even container level.

Kubernetes itself does not provide a comprehensive native logging framework, but it can be integrated with lots of third-party open source logging solutions in the community, such as Grafana Loki or the EFK stack, which includes Elasticsearch, Fluentd, and Kibana for log searching, querying, and tracing.

Logging in Kubernetes involves a set of patterns that are implemented by...