Java applications are powering many businesses. Slow or poor Java application performance results in revenue loss, poor user experience and lost productivity. eG Enterprise Universal Insight is a unified performance monitoring, diagnosis and reporting solution for Java applications. You get total visibility into every layer and every tier of the Java application infrastructure from a single pane of glass. You can identify slow transactions and learn what database query or API call is causing the slowness. With just one click you can pinpoint if other tiers (i.e., database, storage, virtualization, etc.) are affecting Java application performance.View Demo
Multi-tier architectures are used to deploy Java applications. While multi-tier architectures are great for scalability, the inter-dependencies between tiers make problem diagnosis a challenge. A problem in one tier (e.g., database) can affect the performance of all other tiers (e.g., Java middleware, web, messaging, etc.).
The increasing adoption of virtualization and cloud computing for deploying Java applications poses additional challenges. The performance of the Java application is now also affected by that of the virtual machine and the hypervisor it is running on. For effective Java application performance management, end-to-end correlated performance visibility is a must, including Java server monitoring, database, storage and correlated insights throughout the rest of the physical and virtual infrastructure.
“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.”