| Summary: | Although enterprises are broadly adopting Kubernetes, on-premises and cloud-based storage solutions designed for VMs struggle to handle the scale and complexity of Kubernetes environments. Cloud native infrastructure and architecture need a storage solution today that can keep up with the scale and volume of data processed by these applications. In this report, author Peter Conrad provides a foundation for understanding a storage paradigm that makes Kubernetes data highly available and secure, providing dynamic scale and data protection. DevOps engineers, application architects, and site reliability teams, among others, will learn how to manage storage for Kubernetes applications and services. You'll explore the challenges of data storage for distributed applications at scale, understand how to solve them, and examine considerations for moving to Kubernetes
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