How deeply does Google Anthos in Action cover cloud elasticity?

Defines automatic scale-up and scale-down behavior, but does not detail metrics, thresholds, or configuration procedures.

Cloud elasticity

As explained in Google Anthos in Action

Elasticity is the ability to automatically adjust resources or service capacity in response to changing demand.

Cloud elasticity automatically adjusts an individual service’s capacity as demand changes, scaling up during peaks and scaling back during idle periods to improve cost efficiency. section 16.1

A microservice-oriented deployment supports elasticity by:

Scaling individual services instead of expanding an entire virtual machine. section 16.1
Reducing capacity during idle periods to control operating costs. section 16.1
Using container platforms to automate workload placement and service operations. section 16.1

How Google Anthos in Action covers it

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Also explained in

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Think Like a CTOThe ability of a system to automatically adjust provisioned resources in response to changing demand.
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWSElasticity is the ability of a system to increase or decrease resource capacity in response to changing demand.
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Kafka for ArchitectsElasticity is the ability of a system to dynamically add or remove resources in response to changing workload demand.

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Related concepts

reactive systempart of · A reactive system is a distributed software system designed to remain responsive through resiliency, elasticity, and asynchronous message-driven communication.
reliabilityaddresses · Reliability is the ability of a system or process to perform its intended functions consistently and dependably under specified conditions and over time.
scalabilityaddresses · Scalability is the ability of a system, process, or method to accommodate increasing workload, size, or demand while maintaining acceptable operation.
resource allocationuses · Resource allocation is the assignment of limited resources among competing activities, workloads, or components according to requirements, priorities, and constraints.

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