Dec 06, 2023

Load, Load, Don’t Drop, Drop & then Kill

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.

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Jan 07, 2026

Strategies 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.

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Nov 19, 2025

Observability at a Breaking Point: How Decoupling Unlocks Speed, Scale, & Savings

Learn how decoupled observability helps you do more with your Splunk data, reduce costs, and scale efficiently with Federated Search.

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Oct 22, 2024

Keynote: Powering Event-Driven Data with Apache Druid

The distinction between OLTP and OLAP is becoming less relevant as data architectures shift toward entities and events. In this session, we’ll delve into how Apache Druid’s event-first approach synthesizes...

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