The recursive YAML acroynym stands for “YAML Ain't Markup Language,” denoting it as flexible and data-oriented. ... Its flexibility is partially due to the fact that YAML is made up of bits and pieces of other languages. A few examples of these similarities include: Scalars, lists, and associative arrays are based on Perl.
Most formatting languages display data in a non-human readable format. Even JSON, the most popular data format in use, has poor code readability.
YAML is an alternative to JSON that formats data in a natural, easy-to-read, and concise manner.
This article will introduce you to the YAML markup language. We cover the basic concepts behind this markup language, explain its key features, and show what YAML offers to DevOps teams.
YAML is a data serialization language. Back when it came out in 2001, YAML stood for “Yet Another Markup Language.” The acronym was later changed to “_YAML Ain’t Markup Language_” to emphasize that the language is intended for data and not documents.
It is not a programming language in the true sense of the word. YAML files store information, so they do not include actions and decisions.
Unlike XML or JSON, YAML presents data in a way that makes it easy for a human to read. The simple syntax does not impact the language’s capabilities. Any data or structure added to an XML or JSON file can also be stored in YAML.
Besides human-readable code, YAML also features:
Users can write code for reading and generating YAML in any programming language. The extensions in YAML are .yaml and .yml. Both extensions stand for the same file type.
YAML has several features that make it an excellent option for data formatting.
Users can add multiple documents to a single YAML file. Separate different documents with three dashes (
---), like this:
--- time: 19:04:12 player: playerOne action: strike (miss) --- time: 20:03:47 player: playerTwo action: strike (hit) ...
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