Unravel Data introduced APM for streaming applications.
This new feature enables enterprises to improve performance and reliability of their Internet of Things (IoT), real-time, and other streaming applications. Fortune 500 companies rely heavily on real-time applications to deliver up-to-the-second analytics and the best user experience - Unravel’s latest innovation helps these mission-critical applications maintain peak performance.
Unravel can automatically pinpoint the cause of bottlenecks, slowdowns, and failures in streaming applications. Furthermore, Unravel provides automatic fixes for these issues, thereby reducing the amount of time and resources needed to firefight such ongoing problems.
“Unravel's latest release makes huge strides towards giving enterprises the best performance, predictability, and reliability for all their streaming applications,” said Dr. Shivnath Babu, CTO, Unravel Data. “Unravel leverages recent advances in machine learning and AI to automate root-cause analysis and resolution by applying these techniques to the full-stack monitoring data available for streaming applications. This monitoring data includes metrics and logs from applications, from systems like Kafka, Spark Streaming, and HBase, as well as from on-premises and cloud infrastructure.”
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