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Status Future consideration
Created by Guest
Created on Jul 14, 2025

Observability Improvements inline with cloud principles and SRE capabilities.

Current IIDR (CDC) needs CHCCLP to be run periodically to pull the monitoring metrics and use IIDR (CDC) Management Console for monitoring visualisation which is 80's or 90's era thinking.

At enterprises, we use different observability tools and we like to have every infrastructure / platform / software / application services to send observability data (logs, traces, metrics) to a single unified enterprise platform that already exists so that we can get end-to-end service impact view. Instead of proposing, please use this IBM tool or that IBM tool, please understand world has evolved and moved into adopting open standards (Open Telemetry & Cloud Events) and technologies for observability fully backed with SRE actions to automate tedious operational activities. Also, please try to take advantage of z17 hardware capabilities including AI to enhance the software product capabilities that are already being used by clients like us.

Needed By Quarter
  • Guest
    Sep 23, 2025

    More details regarding back pressure metrics: I'm specifically looking for x number of DB updates made until time t and y was captured by capture started task at the same point in time (t) and z was published by apply engine at same point in time (t) so that we can compute below at t:

    Capture backlog (related to source DB)= x-y

    Apply backlog (related to source DB)=x-z

    Backlog lag between Capture & Apply=y-z

  • Guest
    Sep 23, 2025

    We also like to get the back pressure metrics from DB & capture part (ie., # of records to be processed for publishing related to DB updates)

  • Guest
    Sep 22, 2025

    While doing the Performance and Scalability test for IMS to Kafka Subscriptions and are trying to identify bottlenecks at the Source end (IMS) . 

    As per the documentation we see bottlenecks can be identified as per below -
    Bottlenecks
    Displays a bar chart featuring the five components of the pipeline: Log Reader, Source Engine, Communication, Target Engine, and Target Database. The results of the bar chart will help you isolate which components are causing bottlenecks.
    https://www.ibm.com/docs/en/idr/11.4.0?topic=tuning-using-management-console-identify-performance-bottlenecks

    We are unable to get this information for Subscriptions with IMS as a Source. We are currently not seeing the source engine (i.e., IMS) details in Management Console. It's not possible to view IMS source engine information in the Performance tab.

    This is a huge gap in the observability and causes operational risk for us. Hope IBM can fix flaws in the IIDR CDC product design through proper enhancements.

  • Guest
    Jul 29, 2025

    Another narrow down requirement: We like to have Apply for Kafka implement monitoring interceptors provided by Confluent for End-to-End monitoring.
     

    Ref Link: https://docs.confluent.io/platform/7.5/control-center/installation/clients.html

  • Admin
    Davendra Paltoo
    Jul 28, 2025

    Thanks for filing this requirement.

    Addressing requirements for pushing artifacts to observabiity tools following open standards is engaging our attention (initially research planning). We will take this requirement into account.