Python DevOps Magic: Easy JSON & YAML Handling ✨🐍 Day - 15

Hello DevOps enthusiasts! 🚀 Today, let's explore the simplicity that Python brings to our daily DevOps tasks, specifically when it comes to working with JSON and YAML files.

Crafting Cloud Chronicles with Python Magic

Creating a JSON file for your cloud services is as easy as brewing your favorite potion:

import json

# Cloud services potion
cloud_services = {
    "aws": "ec2",
    "azure": "VM",
    "gcp": "compute engine"
}

# Save it to 'services.json'
with open("services.json", "w") as json_file:
    json.dump(cloud_services, json_file)

Your cloud services saga is now chronicled in 'services.json'.

Deciphering Cloud Service Scrolls

Reading and revealing the cloud service names is like reading from an ancient scroll:

# Read the scroll in 'services.json'
with open("services.json", "r") as json_file:
    data = json.load(json_file)

# Unveil the services
for provider, service in data.items():
    print(f"{provider} : {service}")

The magic output appears:

aws : ec2
azure : VM
gcp : compute engine

Python's Alchemy on YAML Chronicles

Transforming YAML into JSON is a gentle wave of the wand:

import yaml
import json

# Read the YAML spellbook
with open("services.yaml", "r") as yaml_file:
    yaml_data = yaml.safe_load(yaml_file)

# Witness the seamless transformation
json_data = json.dumps(yaml_data, indent=2)
print(json_data)

And just like that, Python transmutes YAML into JSON effortlessly.

In the realm of DevOps, Python is your friendly guide, making JSON and YAML handling a piece of cake. Join the simplicity and make your DevOps journey a delightful experience! ✨🐍

Happy coding! 💻🌈