Rocana Introduces New Analytic Abilities for Event-Oriented Machine Data

Rocana has unveiled the latest version of its solution for managing and analyzing event-oriented machine data that introduces new advanced analytics and anomaly detection abilities. In addition to the new features, the platform update also introduces support for Hortonworks along with Cloudera, further deepening the platform’s reach.

“We ended up creating this monitoring software built on big data principles,” Omer Trajman, co-founder and CEO of Rocana. “Rocana Ops is software that allows you to monitor your entire infrastructure. It’s the first time you can understand what’s happening in your system from the firewall all the way down to your applications, web servers, the databases, and the network, all in one place and have the software do the heavy lifting for you.”

Rocana Ops 1.3 introduces its next-generation, unified anomaly detection, root cause analysis, and data visualization capabilities based on machine learning algorithms that go beyond basic monitoring.

The updated solution implements an adaptive anomaly detection feature that continually and autonomously fine-tunes itself based on historical data, constantly adjusting thresholds for anomalies based on changes in the real world.

Additonally, it simultaneously analyzes hundreds of thousands of events across multiple metrics including event volume, CPU, disk and RAM utilization as well as customized metrics whereby customers can establish acceptable parameters around nearly any IT function, such as web page latency on an e-Commerce website.

By monitoring anomalies with Rocana’s unique algorithms, organizations can pro-actively identify and address issues while maintaining a deeper, single source of truth for all IT operations.

“This is really the first time you can get this depth and breadth of analysis out of the box,” Trajman said.

Version 1.3 debuts Weighted Analytics for Risk Notifications (W.A.R.N.), a second order analytic that looks at the history of anomalies by object—such as service, device, host, or location—and then computes a score that helps IT teams further understand the depth and severity of the anomaly.

By applying a score and ranking anomalies accordingly, IT administrators can identify which entities in their IT environment are having the most unusual behavior, and drill down to investigate or take further action as needed.

“If a particular system or service is acting up based on a variety of metrics, not just one, it’ll visually show that so a level one operator can very quickly identify what the root cause is,” Trajman said. “It dramatically improves the efficiency of all of IT, both for legacy and modern infrastructure.”

For more information about Rocana 1.3, visit

Image courtesy of Shutterstock

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