• End-to-end monitoring and troubleshooting of the Hadoop cluster
• Real time dashboards for key statistics to figure out possible hazards in the cluster infrastructure and functioning.
• Data Ingestion Monitoring as part of Data management based on metadata for all the data ingested into the cluster, which helps tracking all ingestion failures/success/delays etc.
• Centralized monitoring for all the desired servers and applications within the cluster.
• Alerts and notifications based upon threshold limits for key metrics statistics to respective stakeholders for immediate action.
• User Activity monitoring which provides monitoring of user actions, use of applications and data objects.
• Predictive Analysis and Anomaly detection based on historic patterns to identify any unexpected behavior within the cluster and take appropriate action accordingly.
• Integration with ticketing tool to raise automated incidents for any alert(s) raised
Improvements in UI
New features in server health monitoring
New home page
More drilldowns in cluster health monitoring
New App icon
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