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IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


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,

  1. Post an idea

  2. Upvote ideas that matter most to you

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


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Data & AI Roadmaps (http://ibm.biz/Data-and-AI-Roadmaps) - Use this site to view roadmaps for Data & AI products.

IBM Employees should enter Ideas at https://hybridcloudunit-internal.ideas.aha.io/


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Version 2.4.1

Showing 17

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 2 years 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.
over 1 year 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.
about 1 year ago in Spectrum Conductor / Version 2.4.1 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.
about 1 year 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...
about 1 year 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...
about 1 year ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

optimizing notebook launch time

The Jupyter notebook drop down button takes a long time to display on the screen at times. This RFE is to reduce the wait time it takes for the button to display and allow us to login to the notebook.
over 1 year ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Add slot demand as part of the spark application metric pushed out to elastic search

We would like to have slot demand included as part of the spark application metric that are currently pushed out to elastic search which would help us identify the slot demand vs provisioned for the spark job submitted by the users.
over 1 year ago in Spectrum Conductor / Version 2.4.1 1 Future consideration

Spark log retrieval

Conductor 2.5 log retrieval feature back porting to Conductor 2.4.1. That is, to allow specifying arbitrary limit for number of executors to lookup in the RESTful call to retrieve specific executor log by its executor's id only.
over 1 year ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Dashboard cluster utilization report

Need for a better, configurable dashboard, that communicates the (usable) slots and memory utilization of the grid, provides some context, shows where the actual work is happening, and can be used by developers, grid admins, and regular business u...
over 1 year ago in Spectrum Conductor / Version 2.4.1 0 Future consideration