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Viewing Server Data Charts

View analytic charts about data retrieved for server activity.

  1. In SAP mobile service cockpit, select Analytics > Server Data.

  2. (Optional) You can narrow the focus of server data by setting filters such as application ID and Date. Select Reset to clear your filters.

  3. On the first page, view the analytics that are related to user registrations.

    • Registrations - Total ‒ the total new registrations count for applications.

    • Active App Count ‒ the total active application count with new registrations.

    • Registrations Per App - Total ‒ bar chart that shows the new registrations count by application.

    • Registrations by App ‒ trend line that shows the new registrations count by application. The Y-Axis is the registrations count, and the X-Axis is the date (each application appears in a different color).

    • Active Users Per App - Total ‒ bar chart that shows the number of active users for each application. An "Active User" is one who registers a runtime call for the duration being measured.

    • Active Users by App ‒ trend line that shows the maximum active users count by application. The Y-Axis is the maximum active users count, and the X-Axis is the date (each application appears in a different color).

  4. Select Next Page to view the analytics that are related to online requests.

    • Online Requests Count ‒ the total count of online requests.

    • Request Size Average ‒ the average online request payload size in bytes.

    • Response Size Average ‒ the average online response payload size in bytes.

    • Proxy Total Time Average ‒ the average total request time through the proxy service in milliseconds. Any request sent to the proxy service generates this metric.

    • Proxy Back-end Time Average ‒ the average request time from the proxy service to the back end in milliseconds. Any request sent to the back end (through the proxy service) generates this metric.

    • Request Size Average ‒ bar chart that shows the average online request payload size in bytes per application.

    • Response Size Average ‒ bar chart that shows the average online response payload size in bytes per application.

    • Proxy Requests (Total vs. Back end) ‒ trend line that shows the online request count for both total and back end. The Y-Axis is the count number, and the X-Axis is the date (total and back end appear in a different color). If a request is sent to the proxy service but not sent to the back end, a metric is generated for proxy_total_time but not for proxy_backend_time. If you see a difference between Total and Backend, this may indicate an issue, for example, something may have happened that prevented the request from being sent to the back end).

    • Online Response Time Average ‒ trend line that shows the average response time for both total and back end in milliseconds. The Y-Axis is the time value, and the X-Axis is the date (total and back end appear in a different color).

    • Online Request Per App Count ‒ trend line that shows the online request count by application. The Y-Axis is the count number, and the X-Axis is the date (the application appears in a different color).

  5. Select Next Page to view the analytics that are related to offline requests.

    • Offline Requests Count ‒ the total offline request count for initial download.

    • Initial Download Time Average ‒ the average for offline initial download request time in milliseconds.

    • Refresh Time Average ‒ the average for offline download (refresh) request time in milliseconds.

    • Flush Time Average ‒ the average for offline upload (flush) request time in milliseconds.

    • Offline Initial Download Time Average ‒ bar chart that shows the average for offline initial download request time in milliseconds by application.

    • Offline Refresh Time Average ‒ bar chart that shows the average for offline download (refresh) request time in milliseconds by application.

    • Offline Flush Time Average ‒ bar chart that shows the average for offline upload (flush) request time in milliseconds by application.

    • Offline Requests Count ‒ trend line that shows the offline request count for initial download, download and upload. The Y-Axis is the count number, and the X-Axis is the date. Initial download, download and upload each appear in a different color.

    • Offline Response Time Average ‒ trend line that shows the average for offline request time, which includes initial download, download, and upload in milliseconds. The Y-Axis is the value, and the X-Axis is the date. Initial download, download, and upload each appear in different color.

    • Offline Request per App Count ‒ trend line that shows the offline request count by application. The Y-Axis is the count number, and the X-Axis is date (each application appears in a different color).

  6. Select Next Page to view the analytics that are related to push notifications.

    • iOS Push Count ‒ the total count for iOS pushes that were successful.

    • Android Push Count ‒ the total count for Android pushes that were successful.

    • Baidu Push Count ‒ the total count for Baidu pushes that were successful.

    • iOS Push by App Count ‒ trend line that shows the total count of successful iOS pushes by application. The Y-Axis is the count number, and the X-Axis is the date (each application appears in a different color).

    • Android Push by App Count ‒ trend line that shows the total count of successful Android pushes by application. The Y-Axis is the count number, and the X-Axis is the date (each application appears in a different color).

    • Baidu Push by App Count ‒ trend line that shows the total count of successful Baidu pushes by application. The Y-Axis is the count number, and the X-Axis is the date (each application appears in a different color).

  7. Select Next Page to view the analytics that are for registration detail by server.

    • Application ID

    • Metric

    • Timestamp


Last update: August 23, 2021