Kubernetes Best Practices, Second Edition (Early Release)КНИГИ » ПРОГРАММИНГ
Название: Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes, Second Edition (Early Release) Автор: Brendan Burns, Eddie Villalba, Dave Strebel, Lachlan Evenson Издательство: O’Reilly Media, Inc. Год: 2023-01-27 Язык: английский Формат: pdf, epub (true), mobi Размер: 10.1 MB
In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book.
Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time.
Kubernetes is the de facto standard for cloud native development. It is a powerful tool that can make your next application easier to develop, faster to deploy, and more reliable to operate. However, unlocking the power of Kubernetes requires using it correctly. This book is intended for anyone who is deploying real-world applications to Kubernetes and is interested in learning patterns and practices they can apply to the applications that they build on top of Kubernetes.
Importantly, this book is not an introduction to Kubernetes. We assume that you have a basic familiarity with the Kubernetes API and tools, and that you know how to create and interact with a Kubernetes cluster.
Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes Ensure Pod and container security
Understand issues that have become increasingly critical to the successful implementation of Kubernetes, such as chaos engineering/testing, GitOps, service mesh, and observability
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