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Message

A message is a discrete unit of information or data represented, processed, or exchanged in a communication context.

How 7 Manning books explain it

Spring in Action, Sixth Edition

An integration message is a data-bearing unit that moves through components of an integration flow.

How it is used
Carries data between components as an integration flow processes data entering or leaving an application.
How deep it goes
Explains message movement through channels and common processing steps, without detailing an integration message implementation.
Examples
Illustrates order messages sent and received through JMS and a named channel in a Java DSL flow.
What you can do after
Evaluate/understand how messages carry application data through a flow and how channel choice changes their delivery.

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Akka in Action, Second Edition

A message is an immutable unit of data exchanged between actors to request processing or communicate an event.

How it is used
Connects actors for commands, acknowledgments, and events while avoiding direct method calls.
How deep it goes
Defines immutability and asynchronous delivery, then traces ActorRef mailbox handling; distributed location details are deferred.
Examples
Uses chat conversations, Mentions notifications, browser updates, and a deposit wallet to demonstrate messages.
What you can do after
Apply it via Akka to send immutable commands and events among actors without blocking the sender.

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Kafka for Architects

A message is a discrete data record transmitted between components through a messaging system.

How it is used
Carries event information between Kafka producers and consumers through broker-hosted topics.
How deep it goes
Defines message fields and follows storage and consumer polling, without specifying a message schema.
Examples
Illustrates address-change notifications for multiple subscribers and separate profile and transaction feeds for a customer dashboard.
What you can do after
Evaluate/understand message grouping and retention, and distinguish an offset commit from proof of successful processing.

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Quarkus in Action

Message is a reactive-messaging API abstraction that wraps a produced payload and exposes operations for acknowledging or negatively acknowledging the received message.

How it is used
Coordinates asynchronous message processing between CDI beans while exposing payload handling and acknowledgement control.
How deep it goes
Defines payload wrapping, ack and nack operations, acknowledgement strategies, and chained acknowledgement behavior through a worked consumer.
Examples
Uses a manual consumer that processes String payloads and a billing processor that transforms incoming messages with withPayload(...).
What you can do after
Apply it via Quarkus Reactive Messaging to inspect payloads, forward messages, and explicitly acknowledge or reject processing.

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Starting Data Analytics with Generative AI and Python

A structured record containing a conversational role and the corresponding message content.

How it is used
Structures prompts and conversation history for language-model API requests.
How deep it goes
Defines roles, content, ordering, and context retention, but does not descend into model internals.
Examples
Uses a resonance dialogue, Portuguese sentiment keywords, and a Python chat-completion request.
What you can do after
Apply it via the OpenAI API by assembling role-content records and resending conversation history.

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Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and Terraform

A message is a discrete piece of data transmitted between software components to communicate an event, command, or information.

How it is used
Coordinates microservices by notifying them about events or commanding them to perform actions.
How deep it goes
Defines messages through working direct and indirect communication examples, but defers message-format and protocol internals.
Examples
Uses a “Viewed” event, video-streaming and history services, Docker Compose output, and MongoDB collection records.
What you can do after
Apply it via HTTP or RabbitMQ and verify message handling through service logs and database records.

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Build Python Web Apps with Streamlit

A user message contains the instruction or request submitted on behalf of the person interacting with a language model.

How it is used
Structures prompts and conversation history for language-model requests and chat interfaces.
How deep it goes
Defines role and content, demonstrates API assembly, and shows state retrieval and rendering without detailing message serialization internals.
Examples
Uses a Streamlit explanation request, an OpenAI message list, and a Streamlit loop that renders stored conversation messages.
What you can do after
Apply it via the OpenAI Python library and Streamlit to send user requests and display complete chat history.

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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.