REDWOOD CITY, CA — (Marketwired) — 09/10/13 — , the next-generation machine data analytics company, today announced a major architectural enhancement — Anomaly Detection — to its award-winning service, enabling enterprises to automatically detect events in streams of machine data, generate previously undiscoverable insights within a company-s entire IT and security infrastructure, and allow remediation before an issue impacts key business services. Based on the patent-pending Sumo Logic LogReduce technology, Anomaly Detection combines the best of machine learning, statistical analysis and human knowledge to generate relevant insights into the security, availability and performance of a company-s IT and business systems.
Anomaly Detection overcomes the barriers faced by organizations burdened with the overwhelming amount of machine data generated by their infrastructure. Traditional security and log management tools have forced users to write pre-defined rules to detect anomalies, presupposing knowledge of their data. Running continuously and without supervision, Anomaly Detection removes those barriers by eliminating the need to write rules and by providing rapid time-to-value through a real-time, machine learning-based engine. This predictive capability proactively uncovers events and, in tandem with the investigative power of the Sumo Logic LogReduce technology, rapidly discovers the root cause of those events.
“The explosive growth of machine data in organizations has given rise to companies like Sumo Logic that focus on generating real-time insights from that data across a company-s infrastructure,” said Dennis Callaghan, senior analyst, Enterprise Software, at 451 Research. “Given the constant focus on protecting and enhancing a customer-s brand, revenue streams and security posture, CIOs and their organizations need to be able to discover relevant events occurring in their infrastructure, before business services are impacted. The new Anomaly Detection capability from Sumo Logic represents a promising approach to meeting that challenge.”
The Anomaly Detection service enables customers to:
Identify imminent security threats
Instantly detect anomalies across the entire application and operations infrastructure
Provide user feedback to turn anomalies into known events and classify events with the appropriate severity levels
Detect any future events that match the patterns associated with past anomalies
Visually identify and track anomalies, corresponding events and underlying log patterns through an Anomaly Dashboard
Use LogReduce to rapidly investigate and identify the root cause of these events
Set alerts for users whenever an important event appears
Scale anomaly detection to the scope of users- IT infrastructure
“The ever-growing influx of machine data has created a huge challenge for the CIO-s team. Uncovering and fixing relevant -events- that occur is time-intensive, costly and often impossible,” said Vance Loiselle, CEO of Sumo Logic. “The only way to truly understand what your data is telling you is to use machine learning, not outdated methods such as writing and maintaining rules. Anomaly Detection is a 24x7x365 -advance warning system- that identifies and uncovers the root cause of events, driving rapid time-to-value and supporting critical goals of revenue, brand reputation and customer satisfaction.”
Anomaly Detection is currently in beta release and expected to be generally available by November 2013.
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Sumo Logic is the next-generation machine data analytics company that leverages Big Data for real-time IT insights. The company-s cloud-based service provides customers like Netflix, McGraw-Hill, GoGo Inflight and Tableau Software with real-time interactive analytics at unprecedented petabyte scale. The Sumo Logic service is powered by patent-pending Elastic Log Processing and LogReduce technologies, and transforms machine data into actionable insights for IT operations, application management, and security and compliance teams. Unlike expensive and complex premise-based solutions, the Sumo Logic service has a low TCO, can be deployed instantly, scales elastically and requires zero maintenance. The company is based in Silicon Valley and is backed by Accel Partners, Greylock Partners and Sutter Hill Ventures. For more information, visit .
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Sumo Logic and LogReduce are registered trademarks of Sumo Logic. All other marks referenced are the property of their respective owners.
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Kristen Leon
Trainer Communications
(925) 271-8209
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