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

By the end of this webinar, you will understand the major improvements in Ignite 2.8 and go away with ideas about how they can improve your deployment.

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

Denis Magda is an open-source enthusiast who started his journey in Sun Microsystems as a developer advocate and presently settled down at Apache Software Foundation in the roles of Apache Ignite committer and PMC member. He is an expert in distributed systems and platforms who actively contributes to Apache Ignite and helps companies and individuals deploy it for mission-critical applications. You can be sure to come across Denis at conferences, workshops and other events sharing his knowledge about the open-source, community building, distributed systems.

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