Resource utilization

As explained in Kubernetes in Action, Second Edition

Infrastructure utilization is the proportion of available computing resources that are actively used by workloads.

How Kubernetes in Action, Second Edition covers it

How deep it goes

Explains placement, movement, and tighter packing, but gives no utilization metrics or calculations.

Examples

Uses the scenario of moving applications to make room for a larger deployment and pack nodes tightly.

What it assumes

Assumes developers need not know node counts or characteristics to deploy applications.

What you can do after

Understand how Kubernetes placement and movement can pack workloads more tightly and run more applications on fewer servers.

How it connects

Connects Kubernetes scheduling with application resource requirements, node capacity, workload movement, and cost reduction.

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Also explained in

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  Amazon Web Services in Action, Third Edition: An in-depth guide to AWSCPU utilization is the proportion of processor capacity consumed by a system or workload over a measurement interval.
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  Starting Data Analytics with Generative AI and PythonResource utilization is the amount or proportion of available computing resources consumed by a system or task.
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  Kubernetes for DevelopersA CPU metric is a measurement of processor consumption or capacity associated with a workload.
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  Acing the Certified Kubernetes Administrator Exam, Second EditionResource utilization is the amount of CPU or memory currently consumed by a node or workload.
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  Microsoft Azure in ActionCPU utilization, or CPU usage, is the proportion of a virtual machine's processor capacity consumed during a measurement interval.
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  Machine Learning Platform EngineeringResource utilization is a measurement of the computational resources consumed by a running application, such as CPU, memory, or capacity.
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  Apache Kafka in ActionCPU utilization is the proportion of processor capacity occupied by executing work over a measurement interval.

Compare how 8 books explain resource utilization →

Related concepts

• autoscalingused by · Autoscaling is the automatic adjustment of computing resource capacity or running instances in response to workload demand or measured system conditions.
• kubectl topmeasured by · kubectl top is a kubectl command that displays current CPU and memory usage for Kubernetes nodes or pods.
• monitoringmeasured by · Monitoring is the ongoing observation and measurement of a system’s behavior, state, or operational signals to assess its condition and detect changes or problems.
• resource allocationcontrasts with · Resource allocation is the assignment of limited resources among competing activities, workloads, or components according to requirements, priorities, and constraints.
• performancekind of · Performance is the measurable effectiveness or operational behavior of a system under specified conditions, assessed through relevant qualities such as task results, speed, responsiveness, throughput, or resource use.

This explainer was generated by Manning's knowledge graph from the text of Kubernetes in Action, Second Edition. The section links point to the parts of the book it draws on.