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1
VOTE
Not supported for the current status
Status Under review
Workspace Sterling Transformation Extender
Categories APIs & SDKs
Created by Guest
Created on Jun 23, 2026

RELATED IDEAS

Merged idea
This idea has been merged into another idea. To comment or vote on this idea, please visit ITX-I-422 Enhance ITX MMap Execution Control with Native Timeout, Safe Termination and External Process Lifecycle Management.

Enhance ITX MMap Execution Control with Native Timeout, Safe Termination, and External Process Lifecycle Management Merged

We are using IBM Transformation Extender (ITX) 11.0.2 TX Programming Interface (MMap / mpiMapRun) in a high-throughput, containerized production environment (AKS).
We have implemented the recommended lifecycle:- load → run → abort (if needed) → wait → unload
However, based on production behavior and confirmed by IBM support:
1. abortRun() is cooperative and does not guarantee termination2. unload() cannot be safely invoked while execution is active3. There is no API-level timeout or enforced execution limit4. External processes (e.g. OpenPGP/GPG) are not monitored and may remain as zombie processes5. In certain scenarios, map.run() does not return and may consume CPU indefinitely
This results in:- CPU saturation (100% sustained)- Thread pool exhaustion- Persistent request rejection (HTTP 429)- System unable to recover without process/container restart
In modern cloud environments, this behavior is not manageable because:- Execution cannot be preempted or bounded deterministically- A single stuck execution can exhaust the system- Restart-based recovery leads to instability under load
These limitations prevent safe scaling and operation in production for high-throughput workloads.

What is your industry? Travel & Transportation
How will this idea be used?

This enhancement will be used to enable safe, reliable, and scalable execution of ITX maps in a cloud-native environment.
Specifically, it will allow us to:
- Enforce execution time limits on map.run()- Prevent CPU runaway caused by non-terminating executions- Safely terminate stuck or long-running maps- Avoid reliance on container restarts as a recovery mechanism- Improve system stability under high concurrency and burst traffic
In our use case (logistics and supply chain processing under DHL), we process large numbers of integration requests in parallel. Without deterministic execution control:
- A small number of stuck executions can exhaust all compute resources- System throughput drops to zero despite incoming traffic- SLA compliance is impacted due to inability to process requests
These enhancements will allow ITX to operate reliably in high-throughput, distributed environments such as AKS and other container platforms.
This is critical for enterprise workloads where predictable execution behavior, resource control, and fault isolation are required.

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