November 2018
Intermediate to advanced
185 pages
4h 39m
English
Content preview from Managing Kubernetes
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Chapter 1. Introduction
Kubernetes is an open source orchestrator for deploying containerized applications. The system was open sourced by Google, inspired by a decade of experience deploying scalable, reliable systems in containers via application-oriented APIs,1 and developed over the last four years by a vibrant community of open source contributors.
It is used by a large and growing number of developers to deploy reliable distributed systems, as well as to run machine learning, big data, and other batch workloads. A Kubernetes cluster provides an orchestration API that enables applications to be defined and deployed with simple declarative syntax. Further, the Kubernetes cluster itself provides numerous online, self-healing control algorithms that repair applications in the presence of failures. Finally, the Kubernetes API exposes concepts like Deployments that make it easier to perform zero-downtime updates of your software and Service load balancers that make it easy to spread traffic across a number of replicas of your service. Additionally, Kubernetes provides tools for naming and discovery of services so that you can build loosely coupled microservice architectures. Kubernetes is widely used across public and private clouds, as well as physical infrastructure.
This book is dedicated to the topic of managing a Kuberentes cluster. You might be managing your own cluster on your own hardware, part of a team managing a cluster for a larger organization, or a Kubernetes user ...
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