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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 Employees should enter Ideas at https://ideas.ibm.com


ADD A NEW IDEA

Version 2.4.1

Showing 27 of 15538

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...
over 4 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

IBM Spectrum Conductor MUST set ?cache-control' response header to ?no-cache, no-store'.

Bank of America has a Global Information Security Standard that requires that IBM Spectrum Conductor (and all other applications at Bank of America) MUST set ‘cache-control' response header to ‘no-cache, no-store'. IBM Spectrum Conductor (Version ...
almost 4 years ago in Spectrum Conductor / Version 2.4.1 0 Planned for future release

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.
almost 4 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

Require EGO RestAPI to close host via automation

As we discussed earlier on our call, we are searching for a method to provide some automation for our Spectrum environments. Ideally, this type of action would be supported by an API level interface, but the available commands for host management ...
11 days ago in Spectrum Conductor / Version 2.4.1 1 Submitted

Spring patch for Conductor 2.4.1 version - (CVE-2022-22970 & CVE-2022-2297)

current spring version 5.2.20 of Conductor 2.4.1 is vulnerabale (CVE-2022-22970 & CVE-2022-2297). Wells Fargo is pushing to resolve vulnerability within 60 days. We need patch to fix the vulnerability.
almost 2 years ago in Spectrum Conductor / Version 2.4.1 2 Not under consideration

Java 11 support

Java 8 will be absolute in near future. our team is planning to replace Java 8 with Java 11 Java 11 support is required for future.
over 2 years ago in Spectrum Conductor / Version 2.4.1 1 Functionality already exists

Upgrade needed for scala 2.12 in Spark 2.4.7 / Spectrum 2.5.0

Requirement for users to use scala 2.12 compatible feature in spark 2.4.7.
over 2 years ago in Spectrum Conductor / Version 2.4.1 1 Not under consideration

Cluster level Job ID search

Supporting cluster level Job ID search at GUI level for operational ease.
over 3 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

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 ...
over 3 years 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.
over 3 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration