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Cloud Computing

Cloud computing is a model for delivering computing resources and services over the internet. It allows users to access on-demand computing resources such as servers, storage, applications, and databases without having to manage the underlying infrastructure themselves.

There are three main types of cloud computing services:

  1. Infrastructure as a Service (IaaS): This service model provides users with access to computing infrastructure, such as virtual machines, storage, and networking. The user is responsible for managing the operating system, middleware, and applications.

  2. Platform as a Service (PaaS): This service model provides users with a platform to develop, run, and manage their applications. The platform includes the operating system, middleware, and other services required to run the application. The user is responsible for managing the application and the data.

  3. Software as a Service (SaaS): This service model provides users with access to software applications that are hosted on the cloud. The user does not need to manage any of the infrastructure, middleware, or applications.

Here are some code examples that illustrate each of these cloud computing service models:

IaaS Example:

python
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import boto3 # Create an EC2 instance using Amazon Web Services (AWS) ec2 = boto3.resource('ec2') instance = ec2.create_instances( ImageId='ami-0c94855ba95c71c99', MinCount=1, MaxCount=1, InstanceType='t2.micro' ) print(instance[0].id)

In this example, we are using the AWS SDK for Python (Boto3) to create an EC2 instance. We specify the image ID, the instance type, and the minimum and maximum number of instances we want to create. Boto3 takes care of provisioning the virtual machines and managing the infrastructure.

PaaS Example:

python
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from flask import Flask # Create a Flask application app = Flask(__name__) # Define a route for the application @app.route('/') def hello_world(): return 'Hello, World!' # Run the application on a cloud platform such as Google Cloud Platform (GCP) if __name__ == '__main__': app.run()

In this example, we are creating a simple Flask application that returns "Hello, World!" when accessed. We can deploy this application to a PaaS provider such as GCP App Engine, and the provider takes care of managing the underlying infrastructure, operating system, and middleware.

SaaS Example:

python
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import pandas as pd # Load a CSV file from a cloud-based file storage service such as Google Drive url = 'https://drive.google.com/file/d/1G28QOvno-aq0BQOj8ux71W9YvJxn0EjR/view?usp=sharing' file_id = url.split('/')[-2] dwn_url = 'https://drive.google.com/uc?id=' + file_id df = pd.read_csv(dwn_url) # Perform data analysis using a cloud-based analytics tool such as Google Colaboratory df.describe()

In this example, we are loading a CSV file from Google Drive using its file ID and performing data analysis using pandas, a Python data analysis library. We can perform this analysis on a SaaS platform such as Google Colaboratory, and the platform takes care of managing the infrastructure, middleware, and applications.


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