JSTOR Selects Metafor Software as Its Real-Time Anomaly Detection Platform
JSTOR, a cloud native digital library that contains upwards of 50 million pages of content and serves millions of users annually, has implemented Metafor Software’s machine learning based real-time anomaly detection product to interpret network traffic events by analyzing terabytes of machine data daily. This early detection has decreased JSTOR’s mean time to resolve issues, while ensuring a trustworthy, reliable environment for their customers. - May 15, 2015
Metafor Software Named "Cool Vendor" by Leading Analyst Firm Gartner
Metafor Software, a provider of real-time anomaly detection for IT security and performance, has been selected by Gartner as a "Cool Vendor" in the Application Performance Monitoring (APM) and IT Operations Analytics (ITOA) report. Gartner defines a Cool Vendor as a company that offers technologies or solutions that are innovative, impactful and intriguing, http://metaforsoftware.com/anomaly-detection/ - May 09, 2014
Metafor Software Solves Server Configuration Drift - Announces Environment Anomaly Detection Engine
Metafor Software, the industry’s first provider of environment anomaly detection solutions for web and data center applications, today announced the open Beta of its SaaS based anomaly detection engine. Metafor’s advanced algorithms automate the previously time-consuming task of... - March 28, 2013