NCP-CN-V6-10: Nutanix Certified Professional - Cloud Native

By Nutanix · Question Mode

QuestionQ2

Perform Day 2 Operations

A company has been modernizing on cloud-native platforms for the past few years and has operated several small consumer-support utilities on its production NKP cluster.

After a thorough testing and QA cycle with simulated workloads on a development cluster, the company is ready to bring its online retail application into the fold. Although it has sufficient system resources to scale the NKP cluster appropriately from a performance perspective, it also wants to scale its monitoring stack resource settings correctly to retain enough data to view overall NKP-cluster system resource-utilization trends over several months with the added workloads.

Which NKP Platform Application component should the company be most concerned with adjusting, and how should its Platform Engineer adjust it?

Explanation

Prometheus collects and retains the time-series metrics used to analyze Kubernetes and platform-service resource utilization. As cluster workloads and the desired retention period grow, Prometheus needs higher container CPU and memory capacity for metric ingestion and querying, along with more persistent storage for retained metrics. NKP sizing guidance specifically provides Prometheus resource settings and storage values that increase with cluster size and workload.

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