If the talks today at Monitorama are any indication, anomaly detection will become a critical component in the DevOps tool chain
Vancouver, BC (PRWEB) March 29, 2013
Metafor Software, the industry’s first provider of anomaly detection for web and data center applications, has been named to the 2013 ICT Emerging Rockets list as part of the Ready to Rocket recognition program. Metafor replaces manual troubleshooting with automated diagnostics to identify and prevent environment anomalies before they impact quality of service. Metafor joins past honorees such as Flickr (acquired by Yahoo shortly after), selected based on their growing market opportunity, unique competitive position, and must-have value proposition.
Ready to Rocket is a unique business recognition list that profiles British Columbia technology companies with the greatest potential for revenue growth. Since 2003, the Ready to Rocket list has consistently predicted revenue growth leaders and the companies most likely to attract investment.
"All of us at Metafor are honored to be a part of such a prestigious list of companies," says Jenny Yang, CEO, Metafor Software. "If the talks today at Monitorama are any indication, anomaly detection will become a critical component in the DevOps tool chain. The coming year is going to be exciting!"
Metafor’s SaaS based solution can be set to check servers for anomalies hourly or daily, and automatically send email alerts when servers drift from their desired state. With Metafor, performance troubleshooting and release validation can be easily performed by anyone, freeing up valuable senior operations staff time. Metafor Software installs with a single command, and provides actionable insight within minutes.
See the full 2013 ICT Emerging Rockets list
Find out more about Metafor Software’s anomaly detection
About Metafor Software:
Metafor Software helps IT operations detect unexpected changes and anomalies in their application and infrastructure environment so they can prevent downtime, improve performance, and reduce operational risk and failed user interactions. Unlike traditional threshold based monitoring tools, Metafor’s anomaly monitoring solution applies machine learning techniques to learn system behavior patterns and alert staff when systems start deviating from their normal state. Install Metafor with a single command, and get results in minutes. More information is available at: http://metaforsoftware.com