Real-Time Monitoring

Real-time Web Systems Topology View

JENNIFER’s topology view is a key feature enabling visualization of Web systems across the whole enterprise. JENNIFER provides effective monitoring of the Web application server (WAS) in a black box fashion. In fact, it enables monitoring of each transaction that takes place in the WAS.
JENNIFER’s advanced capabilities include monitoring of transactions in the DB, external services, HTTP server, and other subsystems associated with the WAS.

Real-time Monitoring of Bottleneck Sections
Using active service data for subsystems and response time data, it is possible to intuitively monitor the locations of bottlenecks. For example, it is possible to monitor whether load balancing is achieved by database (DB) dualization. This enables you to head off faults before they happen.

Analysis of Response Time Distribution (X-View) for All Transactions Executed in a Subsystem
It is possible to intuitively analyze all transactions executed in a subsystem through X-View.

Monitoring of Large-scale Sites by Grouping

Large-scale Web systems use a lot of instances to execute the same service. It is possible to monitor the instances through real-time grouping.

Monitoring in Cloud Environments

It is possible to monitor increases and decreases in the number of instances in real time. If instances do not increase in response to traffic, it is possible to handle the situation through the auto-scaling feature.

Browser Real-User Monitoring

The performance of a web service is no longer measured in terms of hardware and software usage alone. Customer satisfaction is fast becoming a key performance indicator across virtually all industries, and web services are not immune to this movement. Companies are looking to monitor accurately what customers are experiencing when they use the services, so that they can make improvements to the process and achieve higher levels of customer satisfaction. To answer this need, JENNIFER now offers a real-user monitoring (RUM) feature. JENNIFER measures transaction response time from browser to server, providing a detailed analysis of the application’s performance as it traces a user activity path employing the web service.

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