Grok anomaly detection leverages sophisticated machine intelligence algorithms to enable new insights into critical IT systems. Grok automatically learns complex patterns and then highlights unusual behavior. As software topologies and usage patterns change, Grok continuously learns and adapts, eliminating the need for frequent resetting of thresholds. Visualization of Grok output is displayed on a constantly updated mobile device, enabling IT professionals to assess the health of their systems anytime, anywhere. Using Grok, IT operators can better prevent business downtime while reducing false positives.
Grok is the first commercial application of Numenta’s groundbreaking Cortical Learning Algorithm (CLA), biologically inspired algorithms for machine intelligence. The core CLA technology is ideal for large-scale analysis of continuously streaming datasets and excels at modeling and predicting patterns in data.
“Grok provides an early warning system to IT professionals to give them real-time insights into their system performance,” said Numenta CEO Donna Dubinsky. “Grok anticipates problems before they happen, reduces false positives, and lowers engineering costs through automated modeling and continuous learning.”
Grok features include
- Monitoring of performance and health of AWS environments or other systems
- Automatic modeling to determine normal patterns
- Automatic identification and ranking of unusual patterns
- Continuous learning of new patterns as environments evolve – no need for manual threshold setting
- Notification to user when an anomaly occurs
- Output displayed graphically on an Android mobile device
- Simple setup via a web-based or command-line interface
- Support for AWS auto-scaling groups and logical clusters
Grok is available in two editions:
- Grok Free Edition; supports up to 10 AWS instances or custom metrics
- Grok Standard Edition; supports up to 200 AWS instances or custom metrics
Grok will be demonstrated in Booth 100 at the AWS Summit on March 26 at the Moscone Center in San Francisco.
In addition to working on the Grok product release, Numenta continues to push its biologically-inspired algorithms forward. “We’ve made some important progress recently and look forward to sharing it with our community over the coming year,” said Jeff Hawkins, Numenta co-founder. “Our open source community, NuPIC, is also growing and actively contributing to the advancement of the science.”
Numenta, Inc., was founded in 2005 to be a catalyst in the emerging field of machine intelligence. Numenta builds solutions that help companies automatically and intelligently act on machine generated data. Its biologically inspired machine learning technology is based on a theory of the neocortex first described in co-founder Jeff Hawkins’ book, On Intelligence. Its first commercial product, called Grok, offers a breakthrough solution for anomaly detection for IT Operations. In addition, Numenta has created NuPIC (Numenta Platform for Intelligent Computing) as an open source project.
Numenta is based in Redwood City, California. It is privately funded.