• application performance management case studies
  • application performance monitoring

The AppsOne Advantage

The traditional ‘Break-Fix’ approach to performance management just isn’t enough anymore.  The rapid adoption of virtualization technologies, private, public and hybrid cloud environments and constant pressure to increase IT efficiency while lowering costs signal a tipping point in IT performance management and service delivery.  In order to address and overcome these challenges, a new approach is necessary – Preventive Performance Management. 

AppsOne is a key component in this new approach, empowering IT Operations to reduce focus on fixing problems, increase time preventing problems from occurring in the first place, and ultimately driving towards more innovation and competitive advantage for the enterprise. AppsOne’s automated, advanced, preventive analytics can assure an organization’s service level objectives and help control and even reduce costly IT expenses due to application stack performance issues. AppsOne enables IT operations professionals to evolve to a new operational paradigm - More Time to Prevent (MTTP) instead of traditional approaches to accelerate Mean Time to Repair (MTTR) after an incident or outage has already occurred.  As a result, Appnomic customers achieve game-changing improvements to SaaS, Cloud, and enterprise application operations and support functions.


  • Early detection of application performance issues before application users are affected.
  • The ability to prevent IT incidents before they occur.
  • Enhance the accuracy and outcomes of application load testing.
  • Avoid costly capital expenses through capacity optimization.

AppsOne’s patent pending Application Behavior Learning (ABL) technology, a unique approach to IT Operations Analytics (ITOA), combines powerful and scalable analytics with auto-discovered real application usage patterns, auto-discovered monitoring thresholds, and real user experience monitoring data. AppsOne analyzes and correlates the dependencies between application load and corresponding infrastructure performance behavior 24x7, to deliver preventive performance management of both on-premise and cloud based applications.


Application Behavior Learning
Automated Threshold Discovery
Early Warning Alerts with Forensics Data
Faster Root Cause Analysis
Real User Monitoring - End User Monitoring
Comprehensive Full Stack Monitoring
Real Time Transaction Dashboards
Automated Fault Remediation
SAP Application Performance Management
Automated Capacity Trend Reports
Available in SaaS Mode