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,
Post an idea
Upvote ideas that matter most to you
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.
Receive notification on the decision
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.
The users of our application create several sandboxes for different scenarios.
We have a module which allows these users to load either in a common base or in a sandbox. But since the list can be long, we want the loading to be done on the active...
Extend policy and rule enforcement to Analytics Engine
Analytics Engine components such as Hive are an important part of the Data Lake story. Without Hive, external users are unable to query data in IBM Cloud Object Storage.
However, Analytics Engine is not integrated with Watson Knowledge Catalog. T...
Python packages can currently be added using the approach described in https://www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0?topic=packages-customizing-using-user-home-volume However, some Python packages use shared libraries that may not be instal...
We have noticed that some cube views (precisely those that use the }Clients dimension) vary on the display depending on the user. This is because Column sizes are associated with MUNs not position.
So we find ourselves with a different refinement...
Allow displaying spark CPU and memory values on Monitoring page
Currently Spark runtimes do not register the pods on the Spark side with the runtimes framework. So, Monitoring page show only 1vCPU and 1G RAM regardless of the size of the Spark environment choosen is only the proxy pod on the Jupyter Client sid...
Provide functionality to pause a cluster to suspend runtime charges when the cluster is not in use
Sometimes, I only need to use a cluster for a one-off task that may run for a few days or more. I would like to be able to pause these clusters when I am not using them to suspend charges. The clusters usually have some configuration that I do man...
Do not place IBM confidential, company confidential, or personal information into any field.