Initial cloud-native conquests started with stateless services but gradually turned towards data management systems. DBMS have relied on centralized, bare metal servers for decades. Cloud-native architectures are a big new technology shift for such systems. Many commercial and open source databases already provide cloud-native adoptions of their products. Among the most interesting cloud-native converts are analytic databases, which imply additional requirements to storage and clustering techniques in order to run fast analytic queries over billions, or even trillions, of rows. Examples include the MySQL clustering project Vitess, which has recently reached CNCF graduation level, and ClickHouse, an extremely fast and scalable analytical database that is being converted to cloud-native operation by Altinity.

Join Alexander Zaitsev, Altinity CTO, to discuss various aspects of running databases in Kubernetes. This is a new technology that has a lot of caveats, such as storage. At the same time databases in Kubernetes promise substantial benefits to the users of such applications as well as companies that operate them. We will explore these issues as well as the path to maturity.