Managing Cloud Native Data on Kubernetes

Jeff Carpenter, Patrick McFadin

ISBN 10: 1098111397 / ISBN 13: 9781098111397

Published by O'Reilly Media, US, 2022

About this Item

Kubernetes has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud. Delve into case studies to avoid the pitfalls others have faced and explore new use cases. Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more.

Seller Inventory # LU-9781098111397

Bibliographic Details

• Title: Managing Cloud Native Data on Kubernetes
• Publisher: O'Reilly Media, US
• Publication Date: 2022
• Language: English
• ISBN 10: 1098111397
• ISBN 13: 9781098111397
• Binding: Paperback
• Condition: New

About this title

Synopsis

Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.

Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You'll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure.

With this book, you will:

• Learn how to use basic Kubernetes resources to compose data infrastructure
• Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators
• Evaluate and select data infrastructure technologies for use in your applications
• Integrate data infrastructure technologies into your overall stack
• Explore emerging technologies that will enhance your Kubernetes-based applications in the future

About the Authors

Jeff has worked as a software engineer and architect in multiple industries and as a developer advocate helping engineers succeed with Apache Cassandra. He's involved in multiple open source projects in the Cassandra and Kubernetes ecosystems including Stargate and K8ssandra. Jeff is coauthor of the O'Reilly books Cassandra: The Definitive Guide and Managing Cloud Native Data on Kubernetes.

Patrick McFadin has been a distributed systems hacker since he first plugged a modem into his Atari computer. Looking for adventure, he joined the US Navy, working on the Naval Tactical Data System (NTDS), which cemented his love of distributed systems. He then spent the 1990s working on infrastructure as the internet started to take off and barely survived the ensuing dot-com crash. Along the way, Patrick picked up a Computer Engineering degree from Cal Poly, San Luis Obispo, and has been focusing on high-scale internet infrastructure ever since. His latest obsession is distributed data systems, and he has been a steady contributor to the Apache Cassandra project since 2011.