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NCP-CN-6.10 · Question #75

A development Kubernetes cluster deployed with NKP is having performance issues. The Cloud Engineer commented that worker VMs are consuming a lot of CPU and RAM. The Platform Engineer took a look at…

The correct answer is D. Add one more worker with nkp scale nodepools ${NODEPOOL_NAME} --replicas=5 --cluster-. You've hit your limit · resets 5am (America/New_York)

Workload Management

Question

A development Kubernetes cluster deployed with NKP is having performance issues. The Cloud Engineer commented that worker VMs are consuming a lot of CPU and RAM. The Platform Engineer took a look at the CPU and RAM statistics with Grafana and confirmed that the worker VMs are running out of CPU and memory. The Kubernetes cluster has 4 workers with 8 vCPUs and 32 GB RAM. What could the Platform Engineer do?

Options

  • ACall tech support to take a look at the infrastructure and investigate.
  • BAsk developers to lower the number of application replicas.
  • CAdd more CPU and memory to workers with nkp scale --cpu 16 --memory 64 --cluster-name
  • DAdd one more worker with nkp scale nodepools ${NODEPOOL_NAME} --replicas=5 --cluster-

How the community answered

(38 responses)
  • A
    3% (1)
  • B
    5% (2)
  • C
    11% (4)
  • D
    82% (31)

Explanation

You've hit your limit · resets 5am (America/New_York)

Topics

#node pool scaling#nkp scale#performance troubleshooting#worker nodes

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