AWS Practical Tasks Repository

This repository contains practical exercises and examples related to AWS services, including IAM, EC2, S3, Athena, Lambda, and DMS. Each section includes code snippets and step-by-step instructions for performing common tasks in AWS.

Table of Contents

• IAM (Identity and Access Management)
• EC2 (Elastic Compute Cloud)
• S3 (Simple Storage Service)
• Athena
• Lambda
• DMS (Database Migration Service)

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IAM (Identity and Access Management)

1. Create Two IAM User Accounts

Steps for creating two IAM user accounts using the root account.

2. Create an Admin Group and Assign Roles

• Create an IAM user and assign them to an Admin group.
• Allocate admin roles and policies to the group.

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EC2 (Elastic Compute Cloud)

1. Launch an EC2 Instance

• Launch an EC2 instance of type t2.micro using the web UI in the AWS Console.

2. Execute 5 Linux Commands on AWS EC2

• After launching the EC2 instance, execute the following 5 Linux commands on AWS Linux EC2 instance:
  • Example commands: ls, cd, pwd, mkdir, touch.

3. Connect to EC2 Using AWS CLI

• Use AWS CLI to connect to the EC2 instance.

4. Use PuTTY to Connect to EC2

• Instructions to connect to the EC2 instance using PuTTY.
• Create a sample S3 bucket after connecting.

5. Upload a Sample Text File to S3

• Insert a sample text file into the S3 bucket using the AWS CLI.

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S3 (Simple Storage Service)

1. Create an S3 Bucket Using boto3

• Using boto3, create an S3 bucket programmatically.

2. Host the S3 Bucket on the Web

• Steps to configure the S3 bucket for static website hosting.

3. Enable Versioning on S3 Bucket

• Instructions to enable versioning on the S3 bucket and view object versions.

4. Use KMS with S3 Bucket

• Steps to use AWS KMS with an S3 bucket for encryption.

5. PySpark: Transform Data in S3

• Write a PySpark code that:
  • Connects to an S3 bucket.
  • Performs transformations and adds a new column.
  • Writes the transformed data back to S3.

6. PySpark Session Code to Read and Write from S3

• PySpark session code to read data, perform transformations, and write it back to an S3 bucket.

7. Sample Spark Code to Connect to AWS S3

• Sample Spark code to connect to S3 and perform operations.

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Athena

1. Query Data in S3 Using Athena

• Create sample data in S3 and use Athena to query it.

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Lambda

1. Lambda to Read Data from S3 and Load to Redshift

• Write a Lambda function to:
  • Read data from an S3 bucket.
  • Load the data into a Redshift table.

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DMS (Database Migration Service)

1. Transfer MySQL Table to S3 Using DMS

• Steps to use DMS to transfer a MySQL table to an S3 bucket.

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Setup Instructions

To run the above tasks, ensure that you have:

• AWS CLI configured with the necessary permissions.
• Access to AWS Console for creating and managing resources.
• Python 3.x installed with boto3 and PySpark libraries for S3 and Lambda tasks.

Author

Abdul Jawwad

This README.md provides an overview of the tasks, including setup instructions and the required tools. You can adjust or expand on it based on your specific repository details.