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:

Post your ideas

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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  2. Upvote ideas that matter most to you

  3. Get feedback from the IBM team to refine your idea

Help IBM prioritize your ideas and requests

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

Reminder: This is not the place to submit defects or support needs, please use normal support channel for these cases

IBM Employees:

The correct URL for entering your ideas is: https://hybridcloudunit-internal.ideas.aha.io


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Version 2.4.1

Showing 35

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....
over 1 year 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.
10 months ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Spark 3.x on Conductor 2.4.1

Our applications want to start using Spark 3 on Conductor 2.4.1. Upgrading to Conductor 2.5.x is in long term plan.
12 months ago in Spectrum Conductor / Version 2.4.1 1 Delivered

Submitting spark applications without the use of spark-submit binary

We would like to be able to submit Spark applications from external client as follows: "java --classpath... --spark-master ...."without the use of spark-submit binary. We tested this approach with java SparkPi example by adding parameters spark ur...
12 months ago in Spectrum Conductor / Version 2.4.1 1 Delivered

Blocking hosts participation in any cluster activity

Request for enhancement to have slot allocations get blocked for spark drivers / executors on nodes that are already declared as blocked by EGO in a scenario in which the Instance Group has not yet been deployed to those nodes. Today, when a node ...
over 1 year ago in Spectrum Conductor / Version 2.4.1 1 Delivered

Enable parallel deployment on "started" SIGs

Request for enhancement in which Conductor allows a running instance group to perform a resource group deploy push to all hosts in a resource group, resulting in a parallel deployment of the SIG onto those hosts. Currently today, that functionalit...
over 1 year ago in Spectrum Conductor / Version 2.4.1 1 Delivered

Git Integration Enhancement

Hi, we would like to request an enhancement to the JupyterLab notebook bundled with Spectrum Conductor that would allow for integration with GitHub.
over 1 year ago in Spectrum Conductor / Version 2.4.1 2 Delivered

Cluster level Job ID search

Supporting cluster level Job ID search at GUI level for operational ease.
3 months ago in Spectrum Conductor / Version 2.4.1 0 Under review

Running Spark Master as cluster admin user

Currently Spark Master runs as the execution user specified in the SIG which happens to be different from cluster admin and depends on SIG tenant/consumer group. That spark master resources such as logs are owned by tenant user makes it difficult ...
3 months ago in Spectrum Conductor / Version 2.4.1 1 Not under 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.
3 months ago in Spectrum Conductor / Version 2.4.1 0 Future consideration