Autoscaling

Q: How deeply does Acing the Certified Kubernetes Administrator Exam, Second Edition cover autoscaling?

Identifies autoscaling as a configuration competency but does not provide implementation commands, manifests, algorithms, or verification procedures.

As explained in Acing the Certified Kubernetes Administrator Exam, Second Edition

Autoscaling automatically adjusts workload or resource capacity in response to demand or measured conditions.

Autoscaling adjusts application capacity as demand or measured conditions change. In Kubernetes administration, it is an operational technique for maintaining application availability and completing workload-management tasks. section 5.0

Treat autoscaling as a declarative cluster task: configure the required behavior, then verify that the workload reaches the intended operational state. It belongs to the Workloads and Scheduling domain and supports the broader goal of highly available, self-healing applications. section 5.0 section 1.1

Competency	Chapter section
Configure workload autoscaling	5.1
Understand application Deployments and how to perform rolling updates and rollbacks	5.1
Understand the primitives used to create robust, self-healing application Deployments	5.2

Use the competency map to place workload autoscaling within the Kubernetes administration task set and identify its related workload topics. section 5.0

How Acing the Certified Kubernetes Administrator Exam, Second Edition covers it

Cover of Acing the Certified Kubernetes Administrator Exam, Second Edition

liveBook manning.com

Read Acing the Certified Kubernetes Administrator Exam, Second Edition on liveBook Get the book at manning.com

Also explained in

liveBook manning.com

Kubernetes for DevelopersCluster autoscaling is the automated adjustment of cluster node capacity to provide resources for scheduled workloads.
liveBook manning.com

Microsoft Azure in ActionThe act of decreasing a virtual machine's size to provide fewer computing resources.
liveBook manning.com

MongoDB 8.0 in Action, Third EditionScaling down is reducing a deployment's provisioned cluster tier or resource capacity.
liveBook manning.com

Google Anthos in ActionScaling is the adjustment of computing resources or system capacity to handle changing workload demand.
liveBook manning.com

LLMs in ProductionScaling down is the deliberate reduction of active service capacity or computing resources.
liveBook manning.com

Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and TerraformElastic scaling is the automatic expansion and contraction of a service's running capacity in response to changing workload.

Compare how 7 books explain autoscaling →

Related concepts

HorizontalPodAutoscalerimplemented by · A HorizontalPodAutoscaler is a Kubernetes API resource and controller that adjusts a workload’s replica count according to observed metrics and configured targets.
horizontal scalingincludes · Horizontal scaling is adjusting system capacity by adding or removing computing nodes or equivalent instances that share or distribute the workload.
vertical scalingincludes · Vertical scaling is increasing or decreasing a system’s capacity by changing the resources available to an existing machine, node, or instance.
Kubernetesused by · Kubernetes is an open-source platform for orchestrating and automating the deployment, scaling, and management of containerized workloads across computing clusters.
costproduces · Cost is the monetary expenditure, computational or other resource consumption, effort, or burden incurred in acquiring, producing, operating, or performing something.
computer clusterconfigures · A computer cluster is a group of interconnected computing nodes coordinated to provide shared computing resources, execute workloads, or deliver services.

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