Choosing TIBCO LogLogic for Centralized Machine Data Management and IT Operational Intelligence

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The machine data generated by the various components of an IT environment offer a treasure trove of data regarding system operations and interactions, providing insight into current needs, pending issues, or historical trends. As such, the ability to read and identify patterns and anomalies in machine data can be used to detect security threats, manage IT compliance, avoid events that result in downtime, or improve system performance and IT resource deployment. For many organizations, the challenge is that the complexity and heterogeneity of their environments results in ongoing production of large volumes of disconnected data.

Transcript of Choosing TIBCO LogLogic for Centralized Machine Data Management and IT Operational Intelligence

Page 1: Choosing TIBCO LogLogic for Centralized Machine Data Management and IT Operational Intelligence
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The machine data generated by the various components of an IT environment offer a treasure trove of data regarding system operations and interactions, providing insight into current needs, pending issues, or historical trends. As such, the ability to read and identify patterns and anomalies in machine data can be used to detect security threats, manage IT compliance, avoid events that result in downtime, or improve system performance and IT resource deployment. For many organizations, the challenge is that the complexity and heterogeneity of their environments results in ongoing production of large volumes of disconnected data.

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Blue Hill Research profiled six organizations’ investigation and evaluation of centralized machine data management solutions and ultimate selection of TIBCO LogLogic. Underlying investment drivers largely related to the need for insight supporting a variety of initiatives related to enterprise IT security, operational performance, and compliance.

Whatever the individual objective, all organizations reported that the volume and variety of machine data and logs generated by multiple, disconnected systems presented a fundamental obstacle to achieving their aims.

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David Houlihan

ABOUT THE ANALYST

Principal Analyst

David Houlihan researches enterprise risk management, compliance and policy management, and legal Technology. He is an experienced advisor in legal and technology fields with a unique understanding of complex information environments and business legal needs.

@DWHoulihan www.linkedin.com/pub/david-houlihan/6/851/9a6