Embedded analytics are a major source of value to application users. Virtually every SaaS offering has them or is adding them now. This talk shows how to build low latency analytic applications on Kubernetes with ClickHouse, a popular, open source data warehouse. We'll start with the ClickHouse Kubernetes Operator to manage data warehouses, then cover ingest and visualization options to build a complete apps. Since this is a K8s talk, we'll of course geek out on the underlying plumbing as well.

Robert is database geek. He started with M204 in the early 1980s and is now working on ClickHouse 20 years later, with digressions into virtualization, SaaS, and security topics. He met up with Kubernetes in 2018 at VMware. Robert is CEO of Altinity, which enables enterprises to use ClickHouse successfully.

1. What are embedded analytics? 2. How can you build them with Kubernetes? 3. What are some of the design issues you'll need to consider?