Python Libraries for DevOps

Reading JSON and YAML in Python

Parsing various types of files is an essential skill for a DevOps Engineer. Parsing files is often a key part of automating tasks such as backups, many DevOps tools rely on configuration files in different formats such as YAML, and JSON. The ability to parse and extract data from different types of files is essential for data analysis as well as log analysis.

There are multiple Python libraries you can use for automation, configuration management, testing, and monitoring.

Here's a list of some Python libraries that can be useful for DevOps:

Ansible: Ansible is an open-source automation tool that allows you to automate tasks such as configuration management, application deployment, and orchestration.
Boto3: Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python. By using this you can easily create and use the services in AWS.
PyYAML: It allows you to read and write YAML files.
Docker-py: It allows you to create and manage Docker containers.
GitPython - GitPython is a Python library for interacting with Git repositories. By using this library you can do everything like committing and pushing changes and many more.
PyTest - PyTest is a testing framework for Python. It allows you to write and run tests for your code.
json: This library provides a way to work with JSON data. This library is used to parse and manipulates JSON data.

Tasks

Create a Dictionary in Python and write it to a JSON File.
Read a json file services.json kept in this folder and print the service names of every cloud service provider.

Here is the services.json file which contains some services of cloud service providers,

Below is the code for how to read json files with output,

Read YAML file using Python, file services.yaml and read the contents to convert yaml to json

Below is the services.yaml file,

Below is the code to convert the YAML file to JSON:

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