Application Performance

At a glance

• Measure the Quality of Experience of end users vs. SLA
• Diagnose performance degradations and accelerate resolutions
• Identify slowdowns, their origin (network, server, application...) and their impact
• Manage performance of complex application chains
• Analyze the impact of application deployments on network resources and end user performance

Optimize end user experience by constant monitoring of application performance

Thanks to Performance Vision – Application's set of indicators; you can master the behavior of business critical applications on the network. Tracking the origin of an application slowdown (network, application, server) in seconds accelerates the incident resolution process. Understanding performance trends, you can anticipate and prepare necessary changes (network and application) to maintain an optimum quality of service for your business users.

Improve the coordination between the IT teams involved in critical application delivery

Monitoring the impact of each factor on the performance of an application chain is key to implementing an efficient and collaborative problem-solving process within the IT department: each team (network, systems, application, database ...) understands the behavior of the applications and the origin of a slowdown; only the relevant team will then work at the resolution. The information provided as dashboards and graphs makes the communication on network and application health with the management and business units easier.

Accelerate incident resolution and track the origin of performance degradations

IT teams usually have limited ways to understand application performance, especially when DNS performance is involved. Performance Vision – Application captures and analyzes all DNS transactions. This feature provides you with a complete set of information on the DNS architecture, resolved domains (DNS & reverse DNS on all types of queries), query volumes and server response times. You can track the impact of DNS and understand whether the end user experience is impacted by slow DNS response times. It then becomes easy to resolve the performance degradation.

Key features

• End user Quality of Experience

• Response time breaddown between network, server and application

• DNS-Reverse DNS

• High level protocol analysis