The Elastic Stack is a new name and vision for our open source projects: Elasticsearch, Kibana, Logstash, and Beats. But what does that really mean, and where are we headed? This session will set the stage (literally) for the day.
48 San Francisco, CA 2,500 attendees Thank you speakers 3rd Annual Elastic User Conference REGISTER TO ATTEND: https://www.elastic.co/elasticon/conf/2017/sf/registration
half float scaled float (factor = 4000) scaled float (factor = 100) On Disk Usage in kb Points disk usage (kb) docs_values disk usage (kb) Better support for Numb3rs Scaled / Half float 40 Faster & reduced memory/disk for many use cases
Significantly faster than Groovy • Familiar syntax • Can be used in various places: • Ingest node pipeline, function scoring, scripted result filtering, watch conditions, and more Say “Heya” to Painless
use cases) • More improvements on resiliency • Build on BKD: range fields, geo • Increased performance for append-only time series use cases • Native RESTful Java client
Elastic Stack — management and visualization • Embrace more diversity: New user interfaces, visualizations, and dev management tools • Kibana for everyone — developers, technical, non-technical business users • “Unexpected apps”