In Apache Druid, after ingesting some data and publishing a segment to Deep Storage, it is the Load, Drop rule a Kill process behavior that govern the caching of segments on historicals across multiple tiers. In this session we review the overall process that each segment undergoes and how to control it. We’ll talk about how to deal with hot and cold tiers and provide details on how the coordinator’s algorithm manages overall segments’ life cycle.
Imply Lumi Loglake Demo
In this demo, you'll see exactly how teams are using Lumi to do more with Splunk and modern observability stacks — without replatforming. We'll also give you a first look at Lumi Loglake — our newest feature...
Watch nowImply 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 nowLunch & 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 now