Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

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 This book challenged my notions about storing data on Kubernetes. I no longer fear the loss of data. —Jesse Anderson, Managing Director, Big Data Institute This is the book you need if doing persistence on Kubernetes is your ultimate goal. Jeff and Patrick do a tremendous job in this comprehensive view of Data on Kubernetes to the point where it doesn’t have to be scary, especially if you have this book on your shelf! —Rick Vasquez, Senior Director, Strategic Initiatives, Western Digital Managing Cloud Native Data on Kubernetes is a groundbreaking work not only because it is the first to tackle this problem space, but because it simultaneously obviates the need for any other book on the subject. Drawing on their decades of experience, Jeff and Patrick give readers the confidence to run stateful workloads on Kubernetes in production. This book will be the reference on the topic for years to come. —Umair Mufti, Director of Product Management, Portworx by Pure Storage Kubernetes is notoriously complex, and dealing with persistent data adds to the complexity. This book does an amazing job of taming the complexity of dealing with data using Kubernetes with many useful code examples and architectural diagrams. —Noah Gift, Duke Executive in Residence Storage is one of the hardest infrastructure layers to master and arguably has the longest innovation cycles. We are at the cusp of one such innovation cycle at the moment with cloud native applications. Jeff and Patrick have tackled this subject head-on, by having the readers understand the evolution of cloud native storage and help transform their storage strategy to meet the next gen application demands. Anyone that is working with microservices (which is almost everyone at the moment), must read this book before they have completed their transformation projects. —Kiran Mova, Founder, Architect Storage Startups, Open Source Advocate/Manager, VMware