Managing Cloud Native Data on Kubernetes

Managing Cloud Native Data on Kubernetes
Jeff Carpenter, Patrick McFadin
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Paperback
Not defined - 350pg
31 Dec 2022 US
International import eta 7-19 days
9781098111397
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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 Carpenter works in Developer Relations at DataStax, where he uses his background in system architecture, microservices and Apache Cassandra to help empower developers and operations engineers to build distributed systems that are scalable, reliable, and secure. Jeff has worked on large-scale systems in the defense and hospitality industries and is co-author of Cassandra: The Definitive Guide. Patrick McFadin works at DataStax in Developer Relations and as a contributor to the Apache Cassandra project. He has worked as Chief Evangelist for Apache Cassandra and as a consultant for DataStax, where he had a great time building some of the largest deployments in production. Previous to DataStax, he held positions as Chief Architect, Engineering Lead and Database DBA/Developer.
Status: No local stock, title imported to order
ISBN-13: 9781098111397
Published: 31 Dec 2022
Published In: United States
Imprint: O'Reilly Media
Publisher: O'Reilly Media
Format: Paperback
Pages: 350

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