YAML
YAML is a human-readable data-serialization standard for representing structured data, including mappings, sequences, and scalar values.
Learn Docker in a Month of Lunches, Second Edition
YAML is a human-readable serialization format commonly used for configuration data.
- How it is used
- Defines Docker Compose application resources and GitHub Actions build workflows in readable configuration files.
- How deep it goes
- Explains indentation through a Compose file and illustrates workflow job configuration, without developing a general YAML syntax guide.
- Examples
- Shows a single-service Compose file and a GitHub Actions job that checks out code and runs a PowerShell build script.
- What you can do after
- Operate/configure it by reading a Compose file, starting its app, and defining a GitHub Actions build job.
Read how Learn Docker in a Month of Lunches, Second Edition explains YAML →
Road to Kubernetes
YAML is a human-readable data serialization format commonly used for configuration and declarative programming.
- How it is used
- Defines automation and deployment configuration for GitHub Actions workflows, Ansible playbooks, and Kubernetes manifests.
- How deep it goes
- Defines YAML and illustrates nested entries and lists before a complete workflow; leaves Kubernetes manifest syntax unexplained.
- Examples
- Uses a small nested YAML file and a Hello World GitHub Actions workflow.
- What you can do after
- Apply it via GitHub Actions by writing, committing, pushing, and running a Hello World workflow.
GitHub Actions in Action: Continuous integration and delivery for DevOps
YAML is a human-readable data-serialization language commonly used for configuration files.
- How it is used
- Defines GitHub Actions workflows, including triggers, jobs, runners, and steps.
- How deep it goes
- Explains scalar values, quoting, multiline blocks, maps, and sequences, while deferring broader YAML type detail to external documentation.
- Examples
- Demonstrates comments, scalar assignments, quoted strings, literal blocks, nested maps, sequences, and a Hello World workflow job.
- What you can do after
- Apply it via GitHub Actions to author and debug workflow configuration files.
Read how GitHub Actions in Action: Continuous integration and delivery for DevOps explains YAML →
Kubernetes for Developers
YAML is a human-readable data serialization format commonly used for structured configuration.
- How it is used
- Configures Kubernetes workloads by declaring the desired resources and state that Kubernetes should maintain.
- How deep it goes
- Explains YAML’s role in declarative configuration and contrasts desired-state declarations with imperative commands, without detailing YAML syntax.
- Examples
- Uses a Deployment requesting three application replicas connected to an external load balancer.
- What you can do after
- Operate/configure Kubernetes workloads by declaring replica counts and connectivity requirements for Kubernetes to enact and maintain.
Logs and Telemetry
YAML is a human-readable data serialization standard that represents structured data through indentation, mappings, and sequences.
- How it is used
- Uses YAML to define Fluent Bit services, pipelines, plugin settings, and YAML-only processors.
- How deep it goes
- Works through runnable pipeline layouts, environment substitution, and multi-input/output sequences rather than YAML language internals.
- Examples
- Demonstrates dummy inputs routed to stdout, including Hello World and multi-input, multi-output configurations.
- What you can do after
- Operate/configure Fluent Bit pipelines in YAML and run them with the Fluent Bit configuration flag.
Podman in Action: Secure, rootless containers for Kubernetes, microservices, and more
YAML is a human-readable data-serialization standard commonly used for configuration and resource manifests.
- How it is used
- Defines container applications and resources for Kubernetes, Podman, and compose workflows.
- How deep it goes
- Explains YAML as structured application definition and demonstrates fields, but does not descend into YAML syntax or parsing internals.
- Examples
- Uses Kubernetes resource files and a compose file defining an image, bind mount, named volume, and port mapping.
- What you can do after
- Operate/configure multi-container applications by writing YAML consumed by podman play kube or docker-compose.
Acing the Certified Kubernetes Administrator Exam, Second Edition
YAML is a human-readable data serialization language commonly used for configuration files.
- How it is used
- Expresses Kubernetes desired state in version-controlled manifests submitted to the API for reconciliation.
- How deep it goes
- Defines declarative manifests and demonstrates application, but stops short of detailed YAML syntax or parser internals.
- Examples
- Uses nginx and multi-container BusyBox Pods, generated YAML, edited commands, and kubectl output for verification.
- What you can do after
- Apply it via kubectl to create or reconcile Pods, then inspect their status and container logs.
Read how Acing the Certified Kubernetes Administrator Exam, Second Edition explains YAML →
.NET MAUI in Action
YAML is a human-readable data serialization format that represents structured data through indentation, whitespace, and key-value syntax.
- How it is used
- Defines GitHub Actions workflows for automating application build and deployment pipelines.
- How deep it goes
- Explains indentation, workflow hierarchy, triggers, jobs, steps, and runners through a small configuration example.
- Examples
- Uses a build-and-deploy.yaml file that triggers on pushes to main or manual dispatch.
- What you can do after
- Builds a basic GitHub Actions workflow file with a name and execution triggers.
Go in Practice, Second Edition
YAML is a human-readable data serialization format commonly used for structured configuration and data exchange.
- How it is used
- Uses YAML to configure applications with readable, commentable files.
- How deep it goes
- Defines YAML and demonstrates file parsing plus typed value access, but defers broader processor details.
- Examples
- Shows commented path and enabled settings alongside a Go program that reads and prints them.
- What you can do after
- Operate/configure a Go application by reading YAML files and retrieving string and Boolean settings.
Acing the CCNA Exam: Volume 2 Advanced Networking and Security
YAML is a human-readable text-based data serialization format that represents structured information using indentation and concise syntax.
- How it is used
- Supports readable exchange, storage, and reconstruction of structured data between applications.
- How deep it goes
- Defines YAML’s naming, readability, and indentation behavior, but stops short of detailed syntax or parser internals.
- Examples
- Uses a wireless access-point structure with nested SSIDs, bands, and maximum-client values.
- What you can do after
- Evaluate YAML representations by recognizing indentation-defined hierarchy and comparing their readability with JSON and XML.
Read how Acing the CCNA Exam: Volume 2 Advanced Networking and Security explains YAML →
Designing Deep Learning Systems: A guide for software engineers
A human-readable data serialization format commonly used for structured configuration.
- How it is used
- Defines Argo Workflows for Kubernetes-native data-processing pipelines.
- How deep it goes
- Shows workflow structure, templates, steps, and artifact wiring, but not YAML syntax beyond the operational listing.
- Examples
- Uses a YAML pipeline that checks data, transforms it, saves a database table, and sends a Slack notification.
- What you can do after
- Apply it via Argo Workflows to declare and submit Kubernetes-executed workflow tasks.
Read how Designing Deep Learning Systems: A guide for software engineers explains YAML →
Spring in Action, Sixth Edition
YAML is a human-readable data-serialization language commonly used for hierarchical configuration.
- How it is used
- Configures Spring Boot application properties, particularly an embedded H2 database used during development.
- How deep it goes
- Demonstrates one nested configuration example and contrasts YAML with properties format without detailing YAML syntax broadly.
- Examples
- Uses application.yml to set spring.datasource.generate-unique-name and spring.datasource.name for an H2 database.
- What you can do after
- Operate/configure a Spring Boot application with readable YAML datasource settings.
Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and Terraform
YAML is a human-readable data serialization and configuration format designed for structured machine-readable documents.
- How it is used
- Configures Docker Compose services and Kubernetes deployments within microservices build, launch, and continuous-deployment workflows.
- How deep it goes
- Demonstrates concrete fields and project placement for Compose, while stopping short of general YAML syntax or parser internals.
- Examples
- Uses a video-streaming Compose service with build, image, ports, environment, container-name, and restart settings.
- What you can do after
- Operate and configure a containerized microservice through a Docker Compose YAML file.
ScyllaDB in Action
YAML is a human-readable data serialization standard commonly used for configuration files.
- How it is used
- Configures cassandra-stress load tests for a specified keyspace, table, generated dataset, and query.
- How deep it goes
- Explains configuration structure and tunes size, population, and cluster for representative generated data.
- Examples
- Uses stress.yaml for article_summaries_by_date, representative column settings, a read query, and Docker deployment.
- What you can do after
- Operate/configure cassandra-stress with a YAML file containing representative data-generation settings and CQL queries.
Grokking Web Application Security
YAML is a human-readable data serialization format commonly used for configuration files.
- How it is used
- Frames YAML as a text serialization format whose handling requires care when applications accept data from untrusted sources.
- How deep it goes
- Defines serialization and deserialization and demonstrates SafeLoader, but does not develop YAML syntax or parser internals.
- Examples
- Uses a Python mapping serialized with yaml.dump and loaded with yaml.SafeLoader.
- What you can do after
- Operate/configure YAML loading with yaml.dump and yaml.load through SafeLoader, while recognizing untrusted-input risks.
Practical Automation with PowerShell: Effective scripting from the console to the cloud
YAML is a human-readable data-serialization language that represents structured data using indentation-based syntax.
- How it is used
- Automates CI/CD workflows that build, test, or deploy code through declarative configuration.
- How deep it goes
- Defines indentation-based nesting and workflow structure, stopping short of broader YAML semantics or specification detail.
- Examples
- Uses Get-SystemInfo.yaml to trigger Pester tests on pull requests with a Windows runner and repository checkout.
- What you can do after
- Apply it via GitHub workflows to automate PowerShell and Pester tests for pull requests.
Related concepts
- workflowused by · A workflow is an organized sequence of coordinated activities, tasks, or decisions through which work progresses toward an outcome.
- data formatkind of · A data format is a defined representation, structure, and encoding scheme for storing, transmitting, exchanging, or interpreting data.
- JSONalternative to · JSON is a standardized, language-independent text format for representing structured data using objects, arrays, strings, numbers, Boolean values, and null.
- Docker Composeused by · Docker Compose is a tool for defining and running applications composed of multiple containers through declarative configuration.
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