Managing Cloud Native Data on Kubernetes
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A01=Jeff Carpenter
A01=Patrick McFadin
Author_Jeff Carpenter
Author_Patrick McFadin
Category=UTC
Category=UYF
Category=UYQM
Cloud native cloud native data Data on Kubernetes Data Services Database as a Service (DBaaS) Data as a Service (DaaS) DataOps
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eq_computing
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Product details
- ISBN 9781098111397
- Publication Date: 16 Dec 2022
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
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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
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.
