Figure out how to best collect arm/multi-arch cluster metrics.

From These sources:

 https://source.redhat.com/groups/public/program_observability/telemetry_knowledge_centre

https://10ay.online.tableau.com/#/site/redhatanalytics/views/ProductSense/GrowthTrends?:iid=1

https://superset.datahub.redhat.com/superset/dashboard/ccx-upgrades-overview/?native_filte[…]Xpy4aMVWREKyTOQ1lEcYxFj3CXjpqOP7liByzyKkpG_OQ8jKRkt8z2w

https://app.amplitude.com/analytics/redhat/space/rlgk2tg/all

CCX fleet insights

Introduction to CCX data

CCX tables

https://telemeter-lts.datahub.redhat.com/graph

https://telemeter-lts-dashboards.datahub.redhat.com/d/yQQH-J7Zz/pre-production-cluster-versions?orgId=1

https://telemeter-lts.datahub.redhat.com/graph?g0.range_input=2w&g0.stacked=0&g0.moment_input=2022-07-26%2008%3A00%3A00&g0.max_source_resolution=auto&g0.expr=count%20without%20(_id)%20(count%20by%20(_id%2Clabel_kubernetes_io_arch)%20(node_role_os_version_machine%3Acpu_capacity_cores%3Asum%7B%7D))&g0.tab=1https://telemeter-lts.datahub.redhat.com/graph?g0.range_input=2w&g0.stacked=0&g0.moment_input=2022-07-26%2008%3A00%3A00&g0.max_source_resolution=auto&g0.expr=count%20without%20(_id)%20(count%20by%20(_id%2Clabel_kubernetes_io_arch)%20(node_role_os_version_machine%3Acpu_capacity_cores%3Asum%7B%7D))&g0.tab=1

We want this information:

• # of clusters by arch

• # of clusters by arch and by platform
• # of cluster with more than 1 arch

• # of clusters (single or multi) that are using the multi-arch payload
• # of clusters where cp is different than workers (assume workers are one arch) arm cp + x workers
• filter by all by hcp and 'classic' cluster

• show/filter by cluster id 
• worker cpu ratios in multi-arch clusters (80% arm, 20%x86..etc)

AC:

• deliver queries, create pages/dashboards to Product so they can continue to receive information.