HP Announces Big Data Analytics Solution for IT Operations Teams

Oct. 28 — HP has announced a Big Data analytics solution for IT operations teams to analyse the volume and variety of IT data to predict, prevent and respond to application and infrastructure issues, preventing costly downtime.

HP Operations Analytics is the first IT analytics platform to provide advanced analytics through contextual analysis of structured and unstructured data. This new solution also integrates into existing IT operations tools to provide actionable insight to pinpoint performance or end-user experience problems.

“Effectively managing IT is impossible without proper visibility into the full environment, and IT organisations are struggling to capture all the information, let alone analyse it,” said Amit Chatterjee, Country Director, HP Software India. “Today, we are unleashing the power of HP Operations Analytics to tackle IT’s biggest challenge—to generate actionable insights from massive amounts of machine data.”

HP Operations Analytics, built on the HP Vertica Analytics Platform, is a robust, scalable solution capable of analysing machine data in real time, including events, metrics, topology and logs. HP Operations Analytics provides IT operations with the actionable insights needed to ensure continuous delivery of high-quality business services by enhancing application performance and end-user experience. 

In addition, HP unveiled a new “Management Cockpit for Big Data,” leveraging its market-leading HP Operations Manager i (OMi) software. HP OMi now features new content packs, providing out-of-the-box monitoring and management of big data platforms, such as HP Vertica and Hadoop.

As big data environments become increasingly mission critical, customer demand for world-class, enterprise-scale monitoring capabilities is increasing. Identifying the root cause of production issues in these large and complex environments is difficult and time consuming. 

The new “Management Cockpit for Big Data” provides monitoring and visibility across the entire big data stack linking health of big data platforms such as HP Vertica and Hadoop with the health of the underlying IT infrastructure. The new capability provides operations teams with the ability to understand the dependencies between these various components of the stack and to quickly correlate and remediate issues.