Application performance issues are business impacting. Loss of user productivity, reduced satisfaction and increased operational costs are some of the effects of poor application performance. eG Enterprise Universal Insight is a comprehensive APM software solution that simplifies the discovery, diagnosis and resolution of application performance problems.
With eG Enterprise, administrators do not have to guess why users complain that "the application is slow". By monitoring, analyzing and correlating metrics across every layer, every tier of the infrastructure, they can pinpoint where the root-cause lies.
Multi-tier application architectures used widely today provide scalability, but they also pose challenges for managing application performance. Inter-dependencies between applications and network tiers make it difficult for administrators to identify the true cause of a slowdown. Virtualization of application tiers adds to the problem.
Most organizations use different tools for monitoring each of their infrastructure tiers. Application performance is measured end-to-end, not tier-by-tier. As a result, administrators have to spend long hours analyzing and correlating metrics from all the tiers to diagnose a problem. This leads to a slow and manual process that requires a lot of expertise to get right.
With eG Enterprise, administrators have visibility into the performance of the application end-to-end. From a web console, they can view the status of every tier supporting the application - network, middleware, virtualization, storage, and database. Key application user experience metrics as well as tier-wise resource metrics are collected using our universal agent/agentless monitoring technology.
The metrics are auto-baselined and any deviations from the norm are flagged as proactive alerts. The metrics are mapped to a hierarchical layer model that is custom-built for each tier and alerts are correlated across the layers, so administrators can easily pin-point which layer is causing a problem.
eG Enterprise is a single solution that monitors application performance from a black-box or external perspective and also from a white-box or internal perspective. Both approaches have their benefits. By combining these two approaches, eG Enterprise provides the best of both worlds.
External monitors can be deployed anywhere in your infrastructure and used to emulate synthetic users and report on the expected performance. Internal monitors track real users and their experience when they access your applications.
This comprehensive application performance monitoring capability allows you to track user experience proactively, identify times when your application is slow and take action proactively, before users complain.
Diagnosing the cause of application slowness is the toughest application performance management challenge today. eG Enterprise’s patented auto-correlation engine provides the answer to this.
In real-time, it analyzes and correlates performance of every tier of the infrastructure, considering all the different dependencies that exist in a virtualized infrastructure. Taking into account application to application, application to VM, VM to physical machine, and application to network dependencies, eG Enterprise differentiates the root-cause of a problem from its effects. Unique among application monitoring tools, this capability helps administrators identify and resolve the cause of an application slowdown (is it the network? database? application? virtualization? storage?) in just one click.
When there is an application performance problem, eG Enterprise helps determine what action must be taken to triage the problem and which domain(s) is responsible for it:
“eG Innovations delivers a robust, reliable and extremely valuable solution to deliver maximum uptime and user satisfaction. Pre-emptive alerting helps us to address performance issues immediately before they affect system and application availability.”
“With eG Innovations, we are reducing system maintenance and support costs, avoiding incremental IT spending and eliminating system downtime across the hospital. Performance and prediction reports help us optimize IT spending and save $100,000 per year.”
“We can now quickly identify root causes of incidents, resolving them before users are impacted. Automatic prioritization and categorization of alerts helps us better focus on the important issues and prioritize our resources accordingly.”
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