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Splunk updates platform, adds monitoring and analytics services

Thor Olavsrud | Sept. 24, 2015
Splunk Enterprise 6.3 is intended to help the platform scale data collection for DevOps and Internet of Things devices, while the new Splunk IT Service Intelligence aims to deliver a central and unified view of critical IT services.

Splunk also took the wraps off a new premium offering: Splunk IT Service Intelligence (ITSI). ITSI can leverage any data that resides within Splunk Enterprise to provide visibility into the health and key performance indicators (KPIs) of IT services. It delivers a central, unified view of critical IT services, using advanced analytics driven by machine learning to highlight anomalies, detect root cause and pinpoint areas of impact.

"With Splunk ITSI, we wanted to build on how customers were already using the Splunk platform for IT troubleshooting and monitoring and deliver a complete solution for IT professionals," says Rick Fitz, senior vice president of IT Markets, Splunk. "IT teams now have an innovative and data-driven approach to manage more effectively the new world of hybrid, cloud and software-defined everything in the data center. Splunk ITSI is in a class of its own because it provides both high-level monitoring and deep-dive troubleshooting and analytics in one solution available as either software or a cloud service."

Splunk customer AdvancedMD, provider of cloud-based medical office software, has more than 13,000 daily uses who initiate claims. It is using ITSI to determine when there's a problem at a high level and then zero-in on the interactions and fix problems.

"Splunk IT Service Intelligence was delivering insights days after installing, instead of the months it can take with legacy monitoring solutions," says Tyler Germer, director of information technology, AdvancedMD. "Splunk ITSI helps us ensure that the claims service stays up and running at all times."

Fitz notes the new monitoring and analytics solution scales to collect and index terabytes of real-time and historical events and metrics across multi-datacenter and cloud-based infrastructures.

 

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