Appnomic Systems, a provider of automated enterprise and Cloud IT performance management solutions, introduced release 4.0 of its AppsOne solution.
AppsOne 4.0 is an Application Behavior Learning (ABL) solution leveraging real-time application usage patterns in a three-dimensional (3D) performance management model.
Diverse software application architectures and disparate data sources in today’s complex IT ecosystems are introducing multiple potential performance break points. There is a need for new methods to analyze the complex and massive volumes of performance data from Cloud and hybrid IT productions systems. The AppsOne 3D metrics model of monitoring application performance effectively analyzes diverse and massive amounts of application and infrastructure operations data to optimize performance and end user productivity.
"Now that Appnomic has proven AppsOne's success at top banks, online portals, SaaS, and enterprise clients around the globe, we are pleased to announce, for the first time, our latest product release in the US market," said Ray Solnik, president of Appnomic Systems. "Appnomic customers achieve previously unattainable application reliability and performance in a complex Cloud and hybrid world. AppsOne 4.0 further differentiates us from any other option available on the market."
With AppsOne 4.0, Appnomic is bringing to its customers:
- Three Dimensional real time performance analytics: AppsOne 4.0 analyzes metrics across three key dimensions of application performance: 1) real end user transaction response time, 2) infrastructure components, and 3) application usage patterns. 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, preventative infrastructure configuration changes, capacity planning, reducing transaction response times, and more.
- End User Monitoring (EUM) for all types of applications: AppsOne 4.0 introduces EUM with flexibility in terms of data capture methodology and transaction type. AppsOne 4.0 can capture metrics with javascript injection, network monitoring methods or an agent based approach depending on the IT operations objective or architecture. AppsOne 4.0 EUM may be used for http and non-http transaction types as is often necessary for hybrid environments.
- Automated Forensics: Automated deep dive diagnostics information is now collected with every Early Warning Alert to enable faster root cause analysis (RCA) as well as to automate remediation workflow. This type of IT automation is not available from any other APM product in the market. System administrators can also plug in their diagnostics scripts to collect custom system state data at the time of the alert.
- Support for SAP applications: AppsOne 4.0 customers can monitor the performance of SAP transactions in real time. These include transactions executed via web, ABAP interface and batch jobs. SAP operations support professionals can now benefit from Early Warning Alerts and can use application usage pattern insights to manage capacity for transaction growth.
AppsOne also allows service providers to license support for clients' application performance enhancement and, conversely, allows enterprises to hold service providers accountable for effective and consistent performance.
AppsOne 4.0 service provider clients can use AppsOne EUM to better serve remote customers with quicker root cause analysis of remote user complaints of frustrating, slow transaction experience.
In addition, service provider partners can measure an application stack’s performance behavior before migrating the application from an enterprise data center environment to a Cloud environment.
As a result, enterprise clients of Appnomic service provider partners will have a higher degree of confidence in final results and enable the service provider to commit to an application migration service level agreement (SLA). Both of these use cases allow enterprises to accelerate migration to the Cloud.
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