As a follow on to last year’s Load, Drop & Kill session, we’ll do a recap on how retention rules are defined and how they are used by the Coordinator to oversee segment cacheing in a multi-tiered Apache Druid deployment. We’ll also cover some exciting new features. We’ll touch on how retention rules enable the new “Query from Deep Storage” feature. We’ll do another pass at the Coordinator cycle and how it has evolved including how it can now dynamically reconfigure itself. Finally we’ll do another pass at the lifecycle of a segment in a Druid cluster and highlight how this has changed since last year.
Lunch & Learn: Imply Lumi Observability Warehouse Demo
In this 30-minute session, you'll see a demo of Imply Lumi — the observability data layer built to help you store more, search faster, and reduce cost without changing your existing tools.
Watch nowImply Lumi: What’s New, What’s Next — and How to Unlock More Observability Value Today
Observability teams must retain more data, investigate faster, and control costs without disrupting existing tools. This live Imply Lumi update shows new ingestion, retention, search, Splunk interoperability,...
Watch nowStrategies for Managing Your Splunk Spend at Scale in 2026
Learn how a decoupled architecture for Splunk—powered by Imply Lumi and Federated Search—helps you keep more data searchable, reduce costs, and scale efficiently without changing existing Splunk workflows.
Watch now