Numenta, Inc.
today announced the commercial availability of Grok for IT Analytics on Amazon
Web Services (AWS) in the
AWS Marketplace.
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 Numentas 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 will be demonstrated in Booth 100 at the AWS Summit on
March 26 at the Moscone Center in San Francisco.