CLIENT APPLICATION PROFILING
In one implementation, a profiling system can comprise an instrumentation engine, a script engine, a distribution engine, and a monitor engine. The instrumentation engine can add profile functionality to a client application. The script engine can provide a test script for the synthetic client. The distribution engine can send the client application with the profile functionality to a synthetic client. The monitor engine can receive messages from the profile functionality. In another implementation, a method for profiling a client application can comprise distributing a client application to a synthetic client to execute a test script on the client application, receiving client profile information from the synthetic client, and analyzing the client profile information based on a quality threshold.
1 . A profiling system comprising:
an instrumentation engine to add profile functionality to a client application, the client application to communicate with a server;
a script engine to provide a test script for the synthetic client, the test script to trigger the profile functionality of the client application based on a real production scenario of the client application on the end user device;
a distribution engine to communicate the client application with the profile functionality and the test script to a synthetic client, the synthetic client being a real device to operate as an end user device and execute the client application to communicate with the server; and
a monitor engine to receive messages from the profile functionality.
2 . The profiling system of claim 1 , wherein the profile functionality includes an operation to produce a call graph of a plurality of routines executed by the client application.
3 . The profiling system of claim 2 , wherein the synthetic client executes the client application to test the interaction with the production server from a determined geographic location.
4 . The profiling system of claim 1 , wherein the messages received by the monitor engine include a message from a server application having profile functionality, the messages to include profile information from the client application and the server application.
5 . The profiling system of claim 1 , comprising:
an analyzer engine to compare a profile message from the client application to a quality threshold.
6 . A computer readable medium comprising a set of instructions executable by a processor resource to:
add profile functionality to a client application, the client application to communicate with a server application;
communicate the client application and a test script to a synthetic client, the test script generated by a customer based on real production scenario of the client application on an end user device and the synthetic client to operate as the end user device;
receive profile information associated with the client application from an instrumentation component executing the client application on the synthetic client based on the test script; and
generate an analysis of the profile information based on a quality threshold.
7 . The medium of claim 6 , wherein the set of instructions is executable by the processor resource to:
measure the profile information via a program object of the instrumentation component.
8 . The medium of claim 6 , wherein the profile information includes a call graph and a stream of recorded events.
9 . The medium of claim 6 , wherein the set of instructions is executable by the processor resource to:
receive a profile granularity to represent a unit of code to measure.
10 . The medium of claim 6 , wherein the set of instructions is executable by the processor resource to:
record the test script based on the real production scenario of the end user device.
11 . A method for profiling a client comprising:
communicating a client application to a synthetic client, the synthetic client to execute a test script to operate a client application as an end user device to trigger communication with a server application and the test script to execute a real production scenario of the client application;
receiving client profile information from the synthetic client, the synthetic client to execute a profile-compatible application component capable of triggering instrumentation code based on the test script; and
generating an analysis of the client profile information based on a quality threshold.
12 . The method of claim 11 , comprising:
receiving the server profile information from a server device to execute the server application;
associating a server routine of the server profile information with a client routine of a call graph of the client profile information; and
identifying an anomaly based on the client profile information, the server profile information, a relationship between the server routine and the client routine, and the quality threshold.
13 . The method of claim 11 , comprising:
receiving application code of the client application; and
instrumenting profile code into the application code to add profile functionality to the client application.
14 . The method of claim 11 , comprising:
communicating the client application to a plurality of synthetic clients; and
communicating the test script to the plurality of synthetic clients.
15 . The method of claim 15 , comprising:
testing, via executing the client application on the plurality of synthetic clients, at least one of a plurality of geographic locations and a plurality of vendor networks.