Learn How Apache Ignite 2.8 Offers Improved Production Maintenance and Machine Learning

Apache Ignite 2.8 includes over 1,900 upgrades and fixes that enhance almost all components of the platform. The release notes include hundreds of line items cataloging the improvements. In this webinar Ignite community members demonstrate and dissect new capabilities related to production maintenance, monitoring, and machine learning including:

  • Sustainable production under high load: Ignite persistence compaction and consistent crash recovery, baseline topology auto-adjustment, uninterrupted operations for some cluster topology change events
  • Next-generation system for monitoring and code tracing: design and usage, exporters configuration (JMX, SQL, OpenCensus)
  • Ignite Machine Learning major upgrade: a revised approach for models training/evaluation, models importing from Spark ML, XGBoost and much more

Learn about the major improvements in Apache Ignite 2.8 and go away with ideas about how they can improve your deployment.

Denis Magda
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member