Machine learning and AI have progressed out of the initial technology development phase and into full production. In this new domain, the concept of monitoring has been redefined. Monitoring now fully encompasses the traditional APM and infrastructure monitoring domains of the past, but also extends it to include measurement of the performance of the models themselves.
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.
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...
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...
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