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Leverage Application Behavior Learning technology to
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Join the new generation of Application Performance Management
Adopt Appnomic Application Behavior Learning Learn More -
Predictively monitor and manage your Critical Application - Avoid
performance issues... Learn More
Appsone at a glance
AppsOne discovers and correlates the dependencies between application load and corresponding infrastructure performance behavior 24x7, to deliver truly proactive, predictive and autonomic performance management of both on-premise and cloud based applications.
Using a patented real-time Analytics approach called Application Behavior Learning (ABL), AppsOne collects application transaction details and infrastructure key performance indicator metrics (KPIs) in real time and statistically correlates them to build baselines on behavior of infrastructure components. ABL technology then automatically sets and adjusts thresholds and isolates faults.
AppsOne analyzes metrics across three key dimensions of application performance:
- Real end user transaction response time
- Infrastructure components
- Application usage patterns
This 3D model of monitoring application performance effectively analyzes diverse and massive amounts of application and infrastructure operations data to optimize performance and end user productivity. The usage patterns set the foundation for a new approach to application operations management. They correlate the other two dimensions to enable innovative approaches to a variety of application stack operations like: Early Warning Alerts™ of impending application issues, preventive infrastructure configuration changes, capacity planning, reducing transaction response times, and more.
AppsOne leads the market in enabling IT organizations to spend more-time-to-prevent (MTTP) application performance issues rather than grappling with mean-time-to-repair (MTTR) incidents after they have occurred. As a result, Appnomic customers achieve game-changing improvements to SaaS, Cloud, and enterprise application operations and support functions.
Features
