The audience will get to learn about one of the largest migrations that Splunk’s observability group did by moving their 27 OSS Druid clusters to Imply’s Enterprise Hybrid deployment. The session will dive deeper into data compaction and the related challenges due to the large scale of the clusters and will walk the audience through how Splunk and Imply worked together to get past the challenges and make data compaction work.
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.
Watch nowObservability 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.
Watch nowKeynote: 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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