YAML Cheat Sheet - Quick Reference & Search
Basic Syntax
key: value
Scalars
name: John
age: 25
active: true
Lists (Arrays)
fruits:
- Apple
- Banana
- Cherry
Mappings (Dictionaries)
person:
name: Jane
age: 30
Nested Structures
address:
street: Main St
city: Springfield
zip: 12345
Anchors & Aliases
defaults: &defaults
timeout: 30
retries: 3
config:
<<: *defaults
timeout: 60
Multi-line Strings
message: |
This is a multi-line string.
It preserves newlines.
Flow Style
fruits: [Apple, Banana, Cherry]
person: {name: John, age: 30}
Merge Keys
default: &default
timeout: 30
retries: 3
dev:
<<: *default
timeout: 10
Null Values
explicit_null: null
implicit_null:
Date and Time
event_date: 2023-10-05
event_time: 2023-10-05T14:48:00Z
About the YAML Cheat Sheet Tool
Welcome to the YAML Cheat Sheet Tool, your go-to resource for mastering YAML (YAML Ain't Markup Language). Whether you're a developer working with configuration files, DevOps engineers managing infrastructure as code, or a beginner exploring YAML's simplicity, this tool provides quick references and examples to enhance your workflow.
What Can You Do with the YAML Cheat Sheet Tool?
Access YAML syntax, examples, and best practices for configuration files, CI/CD pipelines, data serialization, cloud infrastructure, and documentation.
Purpose
This tool simplifies working with YAML by providing quick references and examples, enabling users to streamline workflows and improve collaboration across various use cases.
How It Works
- Use the search bar to find specific YAML syntax or concepts dynamically.
- Browse through pre-defined YAML examples displayed as cards.
- Click the "Copy" button to copy the example directly to your clipboard.
- Explore the introduction section to learn more about YAML and its applications.
Why Use the YAML Cheat Sheet Tool?
- Configuration Files: YAML is ideal for defining application settings, environment variables, and more.
- DevOps and CI/CD Pipelines: Tools like Ansible, Kubernetes, and GitHub Actions rely on YAML for automation workflows.
- Data Serialization: YAML serves as a human-readable alternative to JSON or XML for data exchange.
- Cloud Infrastructure: Platforms like AWS CloudFormation and Terraform use YAML to define infrastructure as code.
- Documentation: YAML's structure makes it easy to organize and document complex information.