The Unravel 4.6.2.0 release, now generally available, builds on the previous 4.6 release with a new UI/UX, multi-cluster support, monitoring for ELK (Elasticsearch, Logstash, and Kibana), and a new installer that makes Unravel available in minutes.
Unravel 4.6.2 adds a new graphical user interface as the visible front end of a new user experience. The previous interface was respected for its ability to bring information from disparate systems to a single pane of glass, for its ability to deliver root cause analysis data crisply, and for the way in which it delivered monitoring information directly from sensors alongside AI-driven insights.
The new UI is faster, cleaner, and combines information that was formerly on several pages into a unified, single-page view. Now, you can also find the appropriate, persona-based experience inside Unravel for data operations people, data analysts, data scientists, pipeline owners, and chief data officers (CDOs). In addition to the UI, Unravel continues to support the Unravel RESTful API for programmatic access to Unravel functionality.
With Unravel 4.6.2, you can now use a single Unravel instance to monitor multiple independent on-premise clusters for Cloudera Distributed Hadoop (CDH) and Hortonworks Data Platform (HDP). Multi-cluster support helps to create a “single source of truth” for all connected CDH and HDP clusters.
Unravel 4.6.2 supports metrics and graphical presentation of KPIs for the Elasticsearch/Logstash/Kibana (ELK) stack. This extends Unravel’s platform support, which continues to include Kafka, Spark, Pig, Cascading, Hadoop, Impala, HBASE, and relational databases supporting SQL.
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