YAML stands for “Yet Another Markup Language”. It’s a strict superset of JSON, which means that YAML can do everything JSON can and more.
- Configuration files: YAML is a popular choice for creating configuration files because it’s human-readable and works with any programming language. YAML files are often used in Kubernetes to configure pods, services, and deployments.
- Data serialization: YAML is a data serialization language that can be used to convert data to and from other formats, such as JSON. YAML is a good choice when human readability is important.
- Documentation: YAML’s human-readable format makes it a good choice for documentation.
- Log files: YAML can be used to create clean, intuitive log files.
- API and web services: YAML can be used to write API definitions for popular API specifications, such as OpenAPI and AsyncAPI.
- Metadata: YAML can be used to store and organize metadata and content structure.
- Machine learning: YAML can be used to define and orchestrate the steps involved in the machine learning lifecycle, such as data ingestion, model training, and evaluation.