Vmware, Inc.

Asaf Wexler

Yoav Dembak

Ronen Heled

Netta Gavrieli

A network sniffer where the sniffer learns the structure of a web application, monitors the operation of the application, and optionally controls the processing of incoming requests to achieve optimal performance as defined in a service level agreement (SLA). The network sniffer is operative for example in enterprise web applications and in enterprise data centers that deploy web applications and optimally is adapted to maintain a consistent level of service of web applications.

Network sniffer for performing service level management

A method for controlling and maintaining a level of service of web applications is disclosed. The method includes generating a context for each request sent from a client to a web server and for each reply sent from a web server to a client. Then it is determined whether the context belongs to an identified transaction. Statistics respective of the identified transaction is then gathered. Further, a determination is made whether at least one policy predefined for the identified application is violated. A plurality of corrective actions are performed if at least one policy is determined to be violated.

Service level management system

A service level management (SLM) system where the system learns the structure of a web application, monitors the operation of the application, and controls the processing of incoming requests to achieve optimal performance as defined in a service level agreement (SLA). The system is operative for example in enterprise web applications and in enterprise data centers that deploy web applications and optimally is capable of controlling and maintaining a level of service of web applications.

A method and system for automatically learning and identifying web applications. The method discovers and identifies transactions, web applications, their modules, interfaces, and relationship between the modules. The method further includes dynamically creating application definers is provided.

Method and system for learning web applications

A system and method for correlating front-end and back-end transactions in a data center. The method includes gathering front-end and back-end transactions; analyzing pairs of transactions to detect correlated front-end and back-end transactions; saving correlated pairs in a database; and displaying the correlated pairs on a graphical user interface (GUI). In accordance with an embodiment of the invention the detection of correlated pairs may be performed using content matching analysis, time proximity analysis, and attributes analysis.

Method and system for correlating front-end and back-end transactions in a data center

A method for monitoring performance of a data center that includes: (a) a performance monitor analyzing packets that flow between a client and a web or application server; (b) assigning packets to contexts where a context is a request-reply entity; (c) determining one or more of application, network, and back-end latency measures wherein: (i) the application latency measure is a time it takes for an application to respond to a request, (ii) the network latency measure is a time that it takes for packets to go through a network between the client and the web or application server, and (iii) the back-end latency is a time required for a back-end system to execute a request and respond to the application server.

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Raanana, Israel

Asaf Wexler