From Configuration to Deployment:

Exploring JSON and YAML Handling in Python for DevOps.

From Configuration to Deployment:

Table of contents

JSON:

JSON, which stands for JavaScript Object Notation, is a popular data format for online data exchange. JSON is the best format for organizing data between a client and a server. The programming language JavaScript is comparable to this language's syntax. JSON's primary goal is data transmission between the client and the web server. It is the most efficient method of exchanging data and is simple to master. It works with many other programming languages, including Python, Perl, Java, etc.

In JavaScript, JSON primarily supports the following six forms of data:

  • String

  • Number

  • Boolean

  • Null

  • Object

  • Array

Two foundation structures of JSON:

  • Data is kept in name/value pairs. It is handled like a record, object, dictionary, hash table, or keyed list.

  • An array, vector, list, or sequence is all considered equivalent to the ordered list of values.

YAML:

YAML is a recursive acronym for “YAML Ain’t Markup Language”. YAML is a human-friendly data serialization language for all programming languages. YAML is most often used for configuration files, but it’s also used for data exchange. YAML is easy to write and read for humans, even for non-programmers. At the same time, it’s also easy to parse YAML, especially with Python and the PyYAML library! Its human-friendliness and readability is YAML’s biggest advantage over other formats, like JSON and XML.

These are the most prominent features of YAML:

  • You can use comments in YAML files.

  • You can store multiple documents in one YAML file with the --- separator. A feature often used in Kubernetes definitions.

  • It’s easy to read for humans.

  • It’s easy to parse for computers.