Analyzing Statistics for Proxy Services

The EI Analytics Dashboard displays statistics relating to a selected proxy service. The information displayed includes the overall success and failure rates, the number of successful/failed requests over time, the message latency over time, the list of messages processed during the selected time interval, and the mediation flow that the messages sent to the proxy service have passed through.

Use one of the following methods to view information in this page.

When you open the EI Analytics dashboard, the Overview page is displayed by default. Click on a proxy service in the TOP PROXY SERVICES BY REQUEST COUNT gadget to view information relating to that proxy service.
Click on the PROXY SERVICE page and search for the proxy service for which you want to view information.

At any given time, this page displays the statistics for a selected time interval. Make sure you select the required time interval in the following bar displayed at the top of the page. If you want to define a custom time interval, click Custom and select the start and end dates of the required time interval in the calendar that appears.

Proxy Request Count

View (Example)
Description	This indicates the total number of requests handled by a proxy service during a selected time period. The number of requests successfully handled by the proxy service as well as the number of failed requests are displayed as percentages of the total number requests handled by the proxy.
Purpose	This gadget can be used for the following purposes. It allows you to identify the throughput handled by a proxy service during different time periods in order to understand the usage patterns the related applications/services. Comparing the success rate during different time intervals helps you to identify any unusual occurrences that have taken place during specific times (e.g., system downtime).
Recommended action	Check the success/failure rate for a proxy at different time intervals. If the success rate was low only during particular time interval(s), check for unusual activities during that time interval(s) (e.g., system downtime, unavailability of the backend service etc.). If the success rate is low at all time intervals, check the proxy service configuration as well as the configurations of other artifacts used by the proxy service (i.e. sequences, endpoints etc.) for errors.

Message Count

View (Example)
Description	This provides a graphical view of the count for both successful and failed messages for a proxy service during a selected time interval.
Purpose	This allows you to identify any correlation that may exist between message failure rate, throughput and time.
Recommended action	If the message failure is particularly high during a specific time, you can check whether any unusual occurrences have taken place during that time (e.g., system downtime, unavailability of the back-end service) and take appropriate action.

Message Latency

View (Example)
Description	The time taken by the selected proxy service to complete processing a request sent to it.
Purpose	This allows you to analyse the efficiency of a proxy service in terms of the time taken to process messages during a selected time interval.
Recommended action	If the message latency is high during a specific time interval, view the number of requests handled by the proxy service during the same time interval in order to check whether there has been an overload of requests.

Messages

View (Example)
Description	This provides the list of message IDs that were processed by the selected proxy service. Details including the host, time stamp and whether the message is successfully processed are displayed for each message ID. Messages can be sorted in an ascending or descending order based on the message ID, host, start time or status. You can search for specific message IDs, as well as click on a message ID to view more details about it in the OVERVIEW/MESSAGE/<MESSAGE_ID> page.
Purpose	This allows you to identify the individual message IDs that were not successfully processed and click on them to find more details in order to take corrective action.
Recommended action	Sort the messages by the status and check whether message failure correlates with specific time intervals. If such a pattern is identified, check whether any unusual activity (e.g., system downtime, unavailability of the backend service) has occurred during that time. Sort the messages by the status and check whether message failure correlates with a specific host. If message failures mainly occur for a specific port(s) investigate further. Click on the message IDs that have failed for further information about them in the OVERVIEW/MESSAGE/<MESSAGE_ID> page.

Message Flow

View (Example)
Description	This provides a graphical view of the mediation flow through which the messages handled by a proxy service have passed.
Purpose	This allows you to understand the different stages of mediation that a selected message ID has passed.
Recommended action	Check whether the message flow is correctly configured based on your requirement, and make modifications if required. Click on different mediators included in the message flow to view more details about them.