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  1. OpenShift Container Platform (OCP) Strategy
  2. OCPSTRAT-943

Phase 3: get CAPI provider for Karpenter working for ROSA+HCP

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      Feature Overview (aka. Goal Summary)  

      As a cluster administrator, I want to use Karpenter on an OpenShift cluster running in AWS to scale nodes instead of Cluster Autoscalar(CAS).
      This feature covers the work done to integrate the upstream CAPI provider for Karpenter with ROSA HCP.

      Goals (aka. expected user outcomes)

      As a cluster-admin/SRE I should be able to use the new CAPI provider for Karpenter(with upstream CAPA) to use Karpenter in OpenShift on AWS.

      1. Tuning upstream PoC karpenter-provider-cluster-api for aws experience
        1. ensuring that metadata from aws services is present on capi objects
        2. closing feature gap with karpenter-provider-aws around pricing data
      2. Write end-to-end tests for karpenter-provider-cluster-api running on OCP AWS
      3. Create an enhancement document for the upstream CAPI provider for Karpenter
        1. this will require some consensus from community
        2. once enhancement is accepted, we can pivot from PoC version to released version (alpha/beta)

      Requirements (aka. Acceptance Criteria):

      As a cluster-admin or SRE I should be able to configure Karpenter with OCP on AWS. Both cli and UI should enable users to configure Karpenter and disable CAS.

       

      Anyone reviewing this Feature needs to know which deployment configurations that the Feature will apply to (or not) once it's been completed.  Describe specific needs (or indicate N/A) for each of the following deployment scenarios. For specific configurations that are out-of-scope for a given release, ensure you provide the OCPSTRAT (for the future to be supported configuration) as well.

      Deployment considerations List applicable specific needs (N/A = not applicable)
      Self-managed, managed, or both both
      Classic (standalone cluster)  
      Hosted control planes yes
      Multi node, Compact (three node), or Single node (SNO), or all MNO
      Connected / Restricted Network Connected
      Architectures, e.g. x86_x64, ARM (aarch64), IBM Power (ppc64le), and IBM Z (s390x) x86_x64, ARM (aarch64)
      Operator compatibility  
      Backport needed (list applicable versions) No
      UI need (e.g. OpenShift Console, dynamic plugin, OCM) yes - console
      Other (please specify) oc-cli

      Use Cases (Optional):

      Include use case diagrams, main success scenarios, alternative flow scenarios.  Initial completion during Refinement status.

      <your text here>

      Questions to Answer (Optional):

      Include a list of refinement / architectural questions that may need to be answered before coding can begin.  Initial completion during Refinement status.

      <your text here>

       

      Out of Scope

      High-level list of items that are out of scope.  Initial completion during Refinement status.

       

      Creating a multi-provider cost/pricing operator compatible with CAPI is beyond the scope of this Feature. That may take more time.

       

      Background

      Provide any additional context is needed to frame the feature.  Initial completion during Refinement status.

      • Karpenter.sh is an open-source node provisioning project built for Kubernetes. It is designed to simplify Kubernetes infrastructure by automatically launching and terminating nodes based on the needs of your workloads. Karpenter can help you to reduce costs, improve performance, and simplify operations.
      • Karpenter works by observing the unscheduled pods in your cluster and launching new nodes to accommodate them. Karpenter can also terminate nodes that are no longer needed, which can help you save money on infrastructure costs.
      • Karpenter architecture has a Karpenter-core and Karpenter-provider as components. 
        The core has AWS code which does the resource calculation to reduce the cost by re-provisioning new nodes.

      Customer Considerations

      Provide any additional customer-specific considerations that must be made when designing and delivering the Feature.  Initial completion during Refinement status.

      <your text here>

      Documentation Considerations

      Provide information that needs to be considered and planned so that documentation will meet customer needs.  If the feature extends existing functionality, provide a link to its current documentation. Initial completion during Refinement status.

      <your text here>

      Interoperability Considerations

      Which other projects, including ROSA/OSD/ARO, and versions in our portfolio does this feature impact?  What interoperability test scenarios should be factored by the layered products?  Initial completion during Refinement status.

      <your text here>

              rh-ee-smodeel Subin M
              rh-ee-smodeel Subin M
              Alberto Garcia Lamela, Joel Speed, Julio Faerman, Michael McCune, Subin M
              Zhaohua Sun Zhaohua Sun
              Jeana Routh Jeana Routh
              Michael McCune Michael McCune
              Subin M Subin M
              Votes:
              3 Vote for this issue
              Watchers:
              24 Start watching this issue

                Created:
                Updated: