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.
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...
Watch nowClosing Keynote: Charting the Future of Druid
What lies ahead for Apache Druid? Join us as we explore the evolving landscape of Druid’s query and storage engines, and how they are positioned to address the biggest challenges in event data for the future. Speaker: Gian...
Watch nowSalesforce: Tracing Service Dependencies at Scale with Druid and Flink
At Salesforce, we manage approximately 300 million distributed spans to infer service dependencies. We have successfully utilized a combination of Druid and Flink to handle this scale with high availability....
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