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Dependency graph

A dependency graph is a graph whose nodes represent entities and whose edges represent dependency relationships among them.

How 5 Manning books explain it

ASP.NET Core in Action, 3e

A dependency graph is a directed graph representing objects or components and the dependencies required to construct or operate them.

How it is used
Uses the graph to explain why dependency injection removes manual object construction from minimal API handlers.
How deep it goes
Defines the graph and works through nested email-service construction, but defers service lifetimes to later treatment.
Examples
Uses RegisterUser, EmailSender, MessageFactory, NetworkClient, EmailServerSettings, and LinkGenerator to demonstrate graph construction and resolution.
What you can do after
Understand how the DI container constructs requested services from their declared dependencies and supplies them to handlers.

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Cloud Observability in Action

A service map is a graphical representation of the services in a distributed system and their communication relationships.

How it is used
Maps actual service communication in distributed systems and provides an architectural starting point for observability and troubleshooting.
How deep it goes
Explains graph purpose and limitations, then defers temporal behavior to traces, spans, and waterfall visualizations.
Examples
Uses an e-commerce checkout path and a Jaeger happy-path dependency graph to illustrate service relationships and investigation.
What you can do after
Diagnose/debug with Jaeger by inspecting a dependency graph, selecting a trace, and switching to spans for timing details.

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Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform

A dependency graph represents infrastructure resources and the dependency relationships among them.

How it is used
Guides brownfield infrastructure migration and structures IaC changes in dependency order.
How deep it goes
Defines the graph and supplies an ordered migration procedure across foundational, compute, orchestration, and application resources.
Examples
Uses networks, servers, databases, queues, DNS, SSL certificates, and Kubernetes deployments as migration examples.
What you can do after
Apply it via Terraform by assessing dependencies and sequencing resource migration from foundational infrastructure upward.

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Natural Language Processing in Action, Second Edition

A dependency tree is a tree representation of grammatical relationships in which words depend on other words within a sentence.

How it is used
Uses grammatical relationships to inspect sentence structure and extract facts for knowledge graphs.
How deep it goes
Explains roots, dependents, branching, and visualization, but does not detail the parsing algorithm itself.
Examples
Demonstrates spaCy and displaCy on a sentence about survival, including a rendered SVG dependency diagram.
What you can do after
Operate spaCy and displaCy to render dependency diagrams and inspect grammatical relationships in processed text.

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Quarkus in Action

A bean dependency graph is a visual graph representing dependency relationships among managed beans.

How it is used
Uses Quarkus Dev UI to inspect dependency relationships among application beans.
How deep it goes
Defines and visualizes bean dependencies, but does not explain dependency resolution internals.
Examples
Shows the dependency graph for the GreetingResource REST endpoint.
What you can do after
Evaluate bean dependencies through a visual graph in Quarkus Dev UI.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.