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IMS Connect transaction analysis

Splunk AppInspect Passed
Overview
Details
Analyze IMS Connect transaction performance data in Splunk using the IMS Connect transaction analysis application and the IMS Connect Extensions feed. The IMS Connect transaction analysis app is a fully-functional sample application that demonstrates the use of transaction summary data supplied by the IMS Connect Extensions feed. Splunk users can use the application to analyze several aspects of IMS Connect, including transaction counts and response times, OTMA elapsed time, input and output elapsed times, SAF time, and distribution of workload across IMS Connect systems to target IMS data stores.

Analyze IMS Connect transaction performance data in Splunk using the IMS Connect transaction analysis Splunk application and the IMS Connect Extensions feed.

What is the IMS Connect transaction analysis app for Splunk?

The IMS Connect transaction analysis app is a fully-functional sample application that demonstrates the use of transaction summary data supplied by the IMS Connect Extensions feed. Splunk users can use the application to analyze several aspects of IMS Connect, including:

  • Distribution of workload across IMS Connect systems to IMS DATASTORE connections.
  • Transaction counts and response times
  • Input, OTMA, and output elapsed times
  • SAF elapsed time

The visualizations can be grouped by IMS Connect system, transaction code, IMS data store (original or target), client ID, client IP address, IMS Connect port number, read exit, OTMA target member (tmember), tpipe, or User ID. Use these visualizations to monitor the health of IMS Connect, report on the effectiveness of IMS Connect Extensions workload routing, view the performance of a specific IMS data store or transaction code, and more. If you have setup a fallback routing system using IMS Connect Extensions, you can use the app to observe how workload moves from the primary DATASTORE connection to the fallback.

Using the app with the IMS Connect Extensions feed

The IMS Connect Extensions feed collects events from running IMS Connect systems, consolidates the events into one record per IMS Connect transaction, and then forwards those records to Splunk. Splunk developers can extend the IMS Connect transaction analysis application to incorporate new visualizations and additional metrics from the feed. For a complete reference on the fields supplied by the IMS Connect Extensions feed, see https://www.ibm.com/support/knowledgecenter/en/SSAVHV_3.1.0/cexu-ca20-fields.html.

Try it today with our Docker image and sample data - no mainframe required

Use our Docker image to try out the features of the IMS Connect transaction analysis app before setting up IMS Connect Extensions in your own z/OS environment. The Docker image contains Splunk Enterprise configured with the IMS Connect transaction analysis app pre-installed and some sample data generated by the IMS Connect Extensions feed. For more information, visit the site at https://hub.docker.com/r/fundisoftware/cexca20-splunk. For a complete walkthrough of the dashboards and data supplied in the Docker image, visit https://developer.ibm.com/zsystems/2019/06/18/ims-connect-workload-monitoring-and-off-host-analytics-with-ims-connect-extensions-and-splunk/.

System requirements

Splunk

The IMS Connect transaction analysis app requires the Splunk Built Sankey Diagram - Custom Visualization app. To install this app, see https://splunkbase.splunk.com/app/3112/.

z/OS

To receive IMS Connect transaction performance data into Splunk, install and run the IMS Connect Extensions feed. For more information on the feed, see https://www.ibm.com/support/knowledgecenter/en/SSAVHV_3.1.0/cexu-ca20.html.

Installation

For complete installation instructions, see https://developer.ibm.com/recipes/tutorials/forwarding-a-live-feed-of-ims-connect-events-to-splunk/.

Release Notes

Version 1.0.3
March 13, 2019

Dashboard visualizations now work as intended when using real-time windows.

Version 1.0.2
Feb. 13, 2019

* Improved appearance of all line charts. Charts now use custom bin sizes to make lines smoother and to avoid an excessive number of data points being shown. Line charts that contain null values are now shown as zero.
* Performance improvements for data load times.
* Clicking on a column in a chart on the Performance dashboard now correctly loads the relevant data in the Elapsed Time components dashboard.
* The Documentation link now directs users to setup instructions on developer.ibm.com.

Version 1.0.1
Jan. 14, 2019

Obtain Splunk AppInspect passed status.

Version 1.0.0
Dec. 12, 2018

Initial version.

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