DoK #57 Key Criteria for Evaluating Kubernetes Data Storage // Enrico Signoretti

Enterprises of all sizes are embracing hybrid cloud strategies that are ever more complex and structured, moving quickly from a first adoption phase, where data and applications are distributed manually and statically across different on-premises and cloud environments, to a new paradigm in which data and application mobility is the key to flexibility and agility. Now organizations want the freedom to choose where applications and data should run dynamically, depending on any number of business, technical, and financial factors. Kubernetes is instrumental in executing this vision, but it needs the right integration with infrastructure layers—such as storage—to make it happen.

Enrico has more than 25 years in technical product strategy and management roles. He has advised mid-market and large enterprises across numerous industries, and worked with a range of software companies from small ISVs to global providers. Enrico is an internationally renowned expert on data storage—and a visionary, author, blogger, and speaker on the topic. He has tracked the evolution of the storage industry for years, as a Gigaom Research Analyst, an independent analyst, and as a contributor to the Register.

- Major differences between traditional storage with CSI compatibility and K8 storage - How to evaluate data storage solutions for K8s - Important evaluation metrics to consider and why - The market landscape