Monitoring and Error Handling

Run streaming and batch pipelines constantly and consistently once they are in production

Performance Metrics in Real-time

Get all performance metrics in real-time, through interactive graphs

Actionable Insights Leveraging Real-time Alerts

Set thresholds on key metrics and corresponding action triggers, through real-time alerts, enabling appropriate actions before performance and availability issues occur

Actionable Insights Leveraging Real-time Alerts

Set thresholds on key metrics and corresponding action triggers, through real-time alerts, enabling appropriate actions before performance and availability issues occur

Continuous Monitoring On-premise or On Cloud

Keep a continuous watch on your application data pipelines, as well as the cluster infrastructure on both local and cloud-based environments

Error Mining

Create distinct queues for configurable application error logs, for easy and parallel debugging and diagnostics

Error Mining

Create distinct queues for configurable application error logs, for easy and parallel debugging and diagnostics

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StreamAnalytix Lite

StreamAnalytix Lite makes Spark easy and expands the base of users that can build Spark based applications. It off¬ers an easy-to-use visual Integrated Development Environment (IDE) to build, deploy and manage Spark based enterprise grade applications.

Operationalize Machine Learning at Scale with StreamAnalytix

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blog Sep 02, 2019

Detect and prevent insider threats with real-time data processing and machine learning

Insider threats are one of the most significant cybersecurity risks to banks today. These threats are becoming more frequent, more difficult to detect, and more complicated to prevent.

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