Scaling of Machine is failing in OpenShift Container Platform 4 because cluster-autoscaler-default pod is in CrashLoopBackOff state

Issue

• Many pods are stuck in Pending state, waiting for new Machines being deployed but the cluster-autoscaler-default pod is stuck in CrashLoopBackOff state hence failing to scale and reporting below panic string.

  panic: runtime error: invalid memory address or nil pointer dereference
  [signal SIGSEGV: segmentation violation code=0x1 addr=0x20 pc=0x1650a64]
  
  goroutine 91 [running]:
  k8s.io/kubernetes/pkg/scheduler/framework/plugins/nodevolumelimits.(*CSILimits).checkAttachableInlineVolume(_, {{0xc00065be20, 0x10}, {0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, ...}}, ...)
      /go/src/k8s.io/autoscaler/cluster-autoscaler/vendor/k8s.io/kubernetes/pkg/scheduler/framework/plugins/nodevolumelimits/csi.go:235 +0x6c4
  k8s.io/kubernetes/pkg/scheduler/framework/plugins/nodevolumelimits.(*CSILimits).filterAttachableVolumes(0xc00035a6c0, 0xc000672328, 0x4?, 0x1, 0xc000736570?)
      /go/src/k8s.io/autoscaler/cluster-autoscaler/vendor/k8s.io/kubernetes/pkg/scheduler/framework/plugins/nodevolumelimits/csi.go:175 +0x625
  k8s.io/kubernetes/pkg/scheduler/framework/plugins/nodevolumelimits.(*CSILimits).Filter(0xc00035a6c0, {0x2fbf7e0?, 0x2f8e1a0?}, 0x7f62e3fe90c8?, 0xc000672328, 0xc0260c1200)
      /go/src/k8s.io/autoscaler/cluster-autoscaler/vendor/k8s.io/kubernetes/pkg/scheduler/framework/plugins/nodevolumelimits/csi.go:103 +0x2f9
  k8s.io/kubernetes/pkg/scheduler/framework/runtime.(*frameworkImpl).runFilterPlugin(0x0?, {0x1f401c8?, 0xc00012a008?}, {0x7f6338340178?, 0xc00035a6c0?}, 0x0?, 0x0?, 0xc0004986e0?)
      /go/src/k8s.io/autoscaler/cluster-autoscaler/vendor/k8s.io/kubernetes/pkg/scheduler/framework/runtime/framework.go:736 +0x2bd
  k8s.io/kubernetes/pkg/scheduler/framework/runtime.(*frameworkImpl).RunFilterPlugins(0xc00032e380, {0x1f401c8, 0xc00012a008}, 0x49?, 0x0?, 0x0?)
      /go/src/k8s.io/autoscaler/cluster-autoscaler/vendor/k8s.io/kubernetes/pkg/scheduler/framework/runtime/framework.go:718 +0xfa
  k8s.io/autoscaler/cluster-autoscaler/simulator.(*SchedulerBasedPredicateChecker).CheckPredicates(0xc00056f880, {0x1f4b300, 0xc000014628}, 0x49?, {0xc01e0c19d0, 0x6f})
      /go/src/k8s.io/autoscaler/cluster-autoscaler/simulator/scheduler_based_predicates_checker.go:168 +0x20d
  k8s.io/autoscaler/cluster-autoscaler/core.computeExpansionOption(0xc005c50380, {0xc019e27f80, 0xb, 0x1d?}, {0x1f4bea8?, 0xc025754e00?}, 0xc01680e240, {0xc018fd2c88, 0x0, 0x0})
      /go/src/k8s.io/autoscaler/cluster-autoscaler/core/scale_up.go:293 +0x616
  k8s.io/autoscaler/cluster-autoscaler/core.ScaleUp(0xc005c50380, 0xc000324d20, 0x2f8e1a0?, {0xc01e293900, 0x15, 0x20}, {0xc015f3c400, 0x52, 0x80}, {0xc015a39e00, ...}, ...)
      /go/src/k8s.io/autoscaler/cluster-autoscaler/core/scale_up.go:446 +0x4676
  k8s.io/autoscaler/cluster-autoscaler/core.(*StaticAutoscaler).RunOnce(0xc000001900, {0x4?, 0x3235343233363836?, 0x2f8e1a0?})
      /go/src/k8s.io/autoscaler/cluster-autoscaler/core/static_autoscaler.go:461 +0x1ff5
  main.run(0x34363a2273657479?, {0x1f46838, 0xc000443a40})
      /go/src/k8s.io/autoscaler/cluster-autoscaler/main.go:421 +0x2cd
  main.main.func2({0x65722d7466696873?, 0x65642d657361656c?})
      /go/src/k8s.io/autoscaler/cluster-autoscaler/main.go:508 +0x25
  created by k8s.io/client-go/tools/leaderelection.(*LeaderElector).Run
      /go/src/k8s.io/autoscaler/cluster-autoscaler/vendor/k8s.io/client-go/tools/leaderelection/leaderelection.go:211 +0x11b
  

• Machine autoscaler is failing to scale Machines because of cluster-autoscaler-default being stuck in CrashLoopBackOff state.