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Log 17 🛫

· 2 min read

Objective​

Deploy watsonx.ai on self-managed AWS infrastructure for customer software evaluation

Milestones​

  1. Deploy and configuration of boot node to establish a beach-head into the customer AWS environment
    • Complete
  2. Deploy OCP using the documented UPI installation steps
    • Complete
  3. Install Cloud Pak for Data
    • In Progress
  4. Deploy and configure watsonx.ai on self-managed AWS infrastructure

Today's Acomplishments​

  • Kublet configuration update applied
  • Deployed instance of Multicloud Object Gateway

Summary​

  • Reinstalled NFS provisioner (Helm)
  • Installed OpenShift Data Foundation Operator
  • Deployed MultiCloud Object Gateway
  • OpenShift portal is active and cluster appears healthy
  • Configuring CP4D CLI
  • Awaiting for final cluster nodes to update through machine config pool

Decisions and Action Items (DAI)​

  • Software evaluation awaiting customer's approval process. This blocks our ability to download software from cp.icr.io
    • Customer to escalate internally

Lesons Learned​

  • Preparation for Cloud Pak for Data on OpenShift sizing needed to be adjusted to reflect an under-provisioning of CPU resources
    • This was resolved by..

Next Steps​

  • License and configure Cloud Pak for Data
    • Cloud Pak Considerations
      • Security scans needed on container images
      • Customer requires on-prem, offline install
      • Customer uses their own container registry that might introduce extra effort or compatability issues
      • Version compatibility with OpenShift (e.g. 4.10 required and customer has 4.11)
      • Supported storage not available
      • Multiple cloudpaks on the same cluster
      • custom connections to data sources not supported OOTB
      • AWS-specific: IAM users required for install/deploy and are not allowed
      • OpenShift specific: CoreOS requirement for control nodes
      • Automatic updating of Cloud Pak, this can interrupt engagements (solution is to always remove update polling from operators)
  • Deploy watsonx.ai
  • Application configurations
  • Application validations