Application performance monitoring expert

Claim 3

A method as set forth in claim 1 , wherein an application server module is included.

Claim 4

A method as set forth in claim 2 , wherein the application server module includes a system controller, administrative functions, and a user interface.

Claim 5

A method as set forth in claim 1 , wherein a gigabit Ethernet media module is included.

Claim 6

A method as set forth in claim 4 , wherein the gigabit Ethernet media module includes an analysis engine, and expert applications.

Claim 7

A method as set forth in claim 1 , wherein a probe enclosure is included.

Claim 8

A method as set forth in claim 6 , wherein the probe enclosure houses an application server module and a media module.

Claim 9

A method as set forth in claim 1 , wherein a shelf enclosure is included.

Claim 10

A method as set forth in claim 8 , wherein the shelf enclosure houses an application server module and a plurality of media modules.

Claim 13

A system as set forth in claim 10 , wherein an application server module is included.

Claim 14

A system as set forth in claim 11 , wherein the application server module includes a system controller, administrative functions, and a user interface.

Claim 15

A system as set forth in claim 10 , wherein a gigabit Ethernet media module is included.

Claim 16

A system as set forth in claim 13 , wherein the gigabit Ethernet media module includes an analysis engine, and expert applications.

Claim 17

A system as set forth in claim 10 , wherein a probe enclosure is included.

Claim 18

A system as set forth in claim 15 , wherein the probe enclosure houses an application server module and a media module.

Claim 19

A method as set forth in claim 10 , wherein a shelf enclosure is included.

Claim 20

A method as set forth in claim 17 , wherein the shelf enclosure houses an application server module and a plurality of media modules.

Claim 21

A computer program product embodied on a computer readable medium for expert application performance analysis capable of carrying out a method, the method comprising: receiving a set of enabled applications; monitoring a network for traffic related to the enabled applications; filtering performance data relating to the enabled applications from the network traffic; categorizing the performance data into flows; prioritizing the flows; processing the flows based on the priority; generating a set of metrics in real time based on the processed flows; measuring a performance of the applications from a: client perspective, a server perspective, and a network perspective using the metrics; and performing threshold-based actions based on the metrics; wherein the performance data is gathered for transaction-oriented transactions, stream-oriented transactions, and throughput-oriented transactions; wherein the metrics generated for the transaction-oriented transactions include a command time per transaction, a response time per transaction, an elapsed time from a start of a command to a start of a response, an elapsed time from a start of a command to an end of a response, and a number of failures; wherein the metrics generated for the stream-oriented transactions include a type of service expected during setup, a type of service actually received, a number of transactions, a number of successful transactions, and a ratio for an accumulated time of disrupted service over transaction time; wherein the metrics generated for the throughput-oriented transactions include a number of transactions, a number of successful transactions, throughput calculations per transaction, byte rate during the transaction, and response size; and identifying application subtypes within the application; wherein flows of the performance data are prioritized; wherein multiple applications are monitored; wherein each of the applications is monitored simultaneously when in a flat mode; wherein each of the applications is monitored sequentially when in a roving mode; wherein the sequential monitoring is based on an allotted amount of time.

Claim 22

A computer program product embodied on a computer readable medium for expert application performance analysis capable of carrying out a method, the method comprising: receiving a set of enabled applications; monitoring a network for traffic related to the enabled applications; filtering performance data relating to the enabled applications from the network traffic; categorizing the performance data into flows; prioritizing the flows; processing the flows based on the priority; generating a set of metrics in real time based on the processed flows; measuring a performance of the applications from a: client perspective, a server perspective, and a network perspective using the metrics; and performing threshold-based actions based on the metrics; wherein the performance data is gathered for transaction-oriented transactions, stream-oriented transactions, and throughput-oriented transactions; wherein the metrics generated for the transaction-oriented transactions include a command time per transaction, a response time per transaction, an elapsed time from a start of a command to a start of a response, an elapsed time from a start of a command to an end of a response, and a number of failures; wherein the metrics generated for the stream-oriented transactions include a type of service expected during setup, a type of service actually received, a number of transactions, a number of successful transactions, and a ratio for an accumulated time of disrupted service over transaction time; wherein the metrics generated for the throughput-oriented transactions include a number of transactions, a number of successful transactions, throughput calculations per transaction, byte rate during the transaction, and response size; and identifying application subtypes within the application; wherein flows of the performance data are prioritized; wherein multiple applications are monitored; wherein each of the applications is monitored simultaneously when in a flat mode; wherein each of the applications is monitored sequentially when in a roving mode; wherein the sequential monitoring is based on an allotted amount of time.