IBM Data and AI Ideas Portal for Customers


Shape the future of IBM!

We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:

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Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,

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The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.

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Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.

Additional Information

To view our roadmaps: http://ibm.biz/Data-and-AI-Roadmaps

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Spectrum Conductor

Showing 45

Update Conductor JVM version from Java 8.0 to Java 11

The current version of Conductor JVM is 8.0 which is old and doesn't allow prospective clients to use Conductor for their current use case. They are looking for support of Java 11 to adopt Conductor for their workload
3 months ago in Spectrum Conductor / Future Version 1 Future consideration

Add support for spark.worker.cleanup or its alternative

Some of our Spark applications run long and produce large volume of shuffle data. We use SparkCleanup to cleanup shuffle data, however SparkCleanup service sometimes deletes shuffle files on long running applications which causes failures. If ther...
3 months ago in Spectrum Conductor / Future Version 3 Future consideration

Spectrum 2.5 - Upgrade Websphere Liberty

Please see TS006797740 case for more background.
4 months ago in Spectrum Conductor 4 Future consideration

Agnostic/Generic Instance Groups and Resource Scheduler

We are in need of agnostic/generic instance groups and an   agnostic/genericresource scheduler.*) agnostic/genericresource schedulerThere is a common need for our data scientists to schedule a "pure" non-Spark TensorFlow Python application to run....
almost 2 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Run SparkCleanup service per individual Instance group instead of centrally

We would like SparkCleanup service to run as execution user of each individual Instance Group, rather than centrally as cluster admin. This will avoid the need to do preliminary work to make sure execution users of SIG are part of cluster admin un...
5 months ago in Spectrum Conductor / Future Version 0 Future consideration

GUI based SIG log level change

GUI based cluster admin ability to modify SIG/Spark master log level. This will reduce operational dependency on root and make it a well supported solution for problem investigation.
6 months ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Optimize SIG package deployment for upgrade or rollback

SIG package deployment takes upto 10 minutes or so in a 50+ SIGs and 1000+ nodes cluster. Refactoring SIG deployment such that package distribution and enablement are independently managed. This will allow scheduling new SIG package distribution a...
6 months ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Cluster level Job ID search

Supporting cluster level Job ID search at GUI level for operational ease.
6 months ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

SIG config deployment optimization

SIG configuration update currently does full SIG deployment which includes Spark package as well. That on a large cluster with many SIGs can run into hours of deployment. This RFE is requesting to optimize SIG deployment process for Spark configur...
6 months ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Patched Spark 2.4.3 as new micro version

Supporting multiple patched versions of Spark 2.4.3 on a cluster, in order to facilitate per SIG Spark 2.4.3_patchversion roll out. This will require a Spark 2.4.3_version for every new patch.
about 1 year ago in Spectrum Conductor / Version 2.4.1 0 Future consideration