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Reservation of nodes for spark job/ Labeling, Taint and Toleration of workers and spark pods
As an CP4d service provides we would like to use special worker nodes only for spark job execution called via the pyspark API. One reason for this is, that we sometimes see that the spark jobs use up all resources. In this scenario we would like a...
Improve Cognos Analytics integration with Salesforce
Current state IBM Cognos Analytics ability to integrate with / pull metadata from Salesforce is extremely limited. Unable to select tables/schemas using new "Manage" administration functionality or create data modules using Salesforce data. Legacy...
Include notifications for recent changes (API Connect v10)
This is for API-Connect v10 (OVA install). In v5, there was a feature where one could view a notification bell in the top right corner when logging into the cloud manager or api manager that would show recent changes (Ex: xyz api was published, et...
In a case submitted to IBM: TS008741229 my team discovered that due to the design of Planning Analytics in terms of how it stores values (IEEE-754 Floating Point Double format) we came across scenarios where PA would not round correctly and hence ...
Currently we have several folder and files used by IBM Streams and created as world writeable (has public write access - anyone can write/change it) /tmp/.com_ibm_tools_attach ( Multiple Items ) - auto created /ibmdev/zsmdhfo/Recon/DailyRecon/.ren...
While scheduling the disposition sweep, ICN does not allow to schedule the sweep on Quarterly basis. It only provides us the option to schedule the sweep hourly, Daily, Monthly and yearly.
While scheduling the disposition sweep, ICN does not allow to schedule the sweep on Quarterly basis. It only provides us the option to schedule the sweep hourly, Daily, Monthly and yearly. Customer heavily relies on scheduling the sweep on Quarter...
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...
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