Data Fabric Search (DFS) is one of Splunk's newest technologies built to handle the ever increasing rate of growth in data. Combining the rich functionality of Splunk with the parallel execution of Spark, DFS enables searching data at scales previously unheard of. This session will be decidedly for a technical audience as we deep-dive into DFS architecture and demonstrate the capabilities DFS offers to execute searches that scan more than one trillion events at a time. We will also share our experience as performance engineers with tips and tricks on how to tune Splunk deployments to take full advantage of this exciting new feature. Having additional capability to search at massive scale opens doors to use cases that no longer need to make the trade-off between depth of analysis and timeliness of results. Come learn more about Data Fabric Search and see real-world examples of its power put to use. The impossible is possible.

Speaker(s)
Yujia Wang, Principal Performance Engineer, Splunk
Ryan Delanoy, Senior Performance Engineer, Splunk

Slides PDF link - https://conf.splunk.com/files/2019/slides/FN2030.pdf?podcast=1577146224

Product: Splunk Enterprise

Track: Foundations/Platform

Level: Intermediate