Apigee App Analytics Test

This test reports the statistics pertaining to the traffic to and from each application running on the Apigee Edge server. These details help administrators to determine which application receives more number of user requests and quickly/slowly responds to the received requests. This way, administrators can find out the applications that are most popular among the users and also isolate the applications that are slow and latent. In the process, this test reveals the count of errors encountered by each application at regular intervals, thus pointing administrators to the erratic performance of the applications. This enables administrators to take necessary steps to fix the problematic condition before it affects the user experience.

Target of the test : Apigee Edge Server

Agent deploying the test : An external agent

Outputs of the test : One set of results for each environment and app pair in the target Apigee Edge server.

Configurable parameters for the test
Parameter	Description
Test period	How often should the test be executed
Host	The IP address of the host for which this test is to be configured.
Port	The port at which the target Apigee server listens to.
Username and Password	By default, the eG agent uses the REST API to collect the metrics from the target Apigee Edge server. To be able to connect to the REST API, the eG agent should be configured with the Apigee email and password of a user who is vested with the rights. Specify the Apigee email and password in the Username and password text boxes.
Confirm Password	Confirm the password by retyping it here.
SSL	By default, the SSL flag is set to Yes indicating that the SSL (Secured Socket Layer) is used to connect to the target Apigee Edge server. If not so, set the SSL flag to No .
Organizations	To enable the eG agent to monitor a particular organization of your interest, specify the name of that organization against this parameter. For instance, primaryorg. Doing so will enable the eG agent to monitor each of the components within the specified organization.
Environments	The organization specified in the Organizations field can contain multiple environments such as dev, test, and prod environment. To enable the eG agent to monitor an environment of your interest, specify the name of that environment in the Environments field. For example, test.
Timeout Seconds	Specify the duration (in seconds) within which the REST API command executed by this test should time out in this text box. The default is 120 seconds.

Measurements made by the test
Measurement	Description	Measurement Unit	Interpretation
User count by apps	Indicates the total number of users who were using this application during the last measurement period.	Number	Compare the value of this measure across the applications to know which application is very popular among users.
Requests count by apps	Indicates the total number of client requests received by this application during the last measurement period.	Number	This measure is a good indicator of workload of each application. Compare the value of this measure across the applications to know which application handled maximum number of requests.
Average response time by apps	Indicates the average time taken by this application to respond to the received requests during the last measurement period.	Milliseconds	A very low value is desired for this measure. An increase in the value of this measure indicates that the application is very slow in processing the requests. Compare the value of this measure across the applications to know which application took maximum time to respond to the requests.
Average target response time by apps	Indicates the average time that this application waited to receive the response from the backend targets during the last measurement period.	Milliseconds	Ideally, the value of this measure should be very low. This measure helps administrators to figure out how well the backend targets are performing while servicing the requests.
Errors by apps	Indicates the number of errors encountered by this application during the last measurement period.	Number
Average request size by apps	Indicates the average size of the request payload received by this application during the last measurement period.	KB
Average response size by apps	Indicates the average size of the response payload of this application during the last measurement period.	KB
Average response processing latency by apps	Indicates the average amount of time that this application took to process the responses.	Milliseconds	Typically, the value of this measure denotes the time starting when each application receives the target service response and ending when the Apigee Edge server forwards the response to the original caller. A high value is a cause for concern, as it indicates a potentially slow resource. Compare the value of this measure across the applications to know which application is the most latent in sending out sthe responses.
Average request processing latency by apps	Indicates the average amount of time that this application took to process the requests.	Milliseconds	Typically, the value of this measure indicates the time in Milliseconds from the time when a call reaches the application to the time when Apigee Edge server sends the request to the target backend server.