Run Data Workloads on Kubernetes
The Data on Kubernetes Community is where users go to run data on Kubernetes (DoK). We facilitate the creation and sharing of best practices to help users advance in their DoK journey through our forum, events, and working groups.
What is Data on Kubernetes?
While Kubernetes was originally designed for stateless workloads, it is increasingly being used to manage stateful and data applications including databases, big data, data analytics, and machine learning.
Data on Kubernetes is well-positioned to become the operational default in a world where data and AI/ML applications are expected to grow. Scalability, flexibility, resilience, openness, and costs are among the reasons; and it has a transformative impact on organizations who benefit from increased productivity, revenue growth, market share and margin, according to the 2022 Data on Kubernetes Report.
Learn Data on Kubernetes
A curated library of resources to help jumpstart or advance your DoK journey.
Adding Zonal Resiliency to Etsy’s Kafka Cluster | DoKC Town Hall
An Introduction to Custom Resource Definitions and Custom Resources(Operators 101: Part 2)
DoK Database Patterns Whitepaper
What Are Kubernetes Operators? (Operators 101: Part 1)
1000 node Cassandra cluster on Amazon’s EKS? – Matt Overstreet (DoK Day EU 2022)
The Data on Kubernetes Landscape – Melissa Logan (DoK Day EU 2022)
Connect With Your Peers
Join the conversation to stay on top of trends and opportunities in the Data on Kubernetes community.