How deeply does Think Distributed Systems cover scalability?

Defines responsiveness through service objectives, error rates, and error budgets, but stops short of implementation strategies.

Scalability

As explained in Think Distributed Systems

Scalability is the ability of a system to maintain its intended behavior as demand or workload increases.

Scalability is a system’s ability to remain responsive as workload increases. Responsiveness means keeping the error rate below an acceptable error budget for a defined service-level objective. section 1.4.2 section 1.4.3

Scalability is not a property of one component alone. It emerges from multiple concurrent components and their interactions, because a single component cannot handle unbounded load. section 1.0 section 1.4.3

A practical test

A web application may work correctly with modest demand yet fail its service objective as requests increase. Adding components can support scale, but the resulting guarantee depends on how those components interact. section 1.0 section 1.4.3

How Think Distributed Systems covers it

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Compare how 27 books explain scalability →

Related concepts

Knativeused by · Knative is an open-source, Kubernetes-based platform for deploying and operating serverless and event-driven workloads.
horizontal scalingincludes · Horizontal scaling is adjusting system capacity by adding or removing computing nodes or equivalent instances that share or distribute the workload.
vertical scalingcontrasts with · Vertical scaling is increasing or decreasing a system’s capacity by changing the resources available to an existing machine, node, or instance.
nonfunctional requirementkind of · A nonfunctional requirement specifies a quality attribute, constraint, or operating condition that a system must satisfy beyond the particular functions it performs.
dataset splitaddressed by · A dataset split is the division of a dataset into distinct subsets assigned different purposes, such as training, validation, or testing.
Kubernetesused by · Kubernetes is an open-source platform for orchestrating and automating the deployment, scaling, and management of containerized workloads across computing clusters.

This explainer was generated by Manning's knowledge graph from the text of Think Distributed Systems. The section links point to the parts of the book it draws on.