Project Name: AWS S3 Memory Monitoring

Description:

This project consists of two components: a Python script and a shell script. The Python script creates an Amazon S3 bucket using the Boto3 library and uploads a text file containing available memory information. The shell script records available memory before and after clearing cache, storing the results in a text file. The text file is then uploaded to the S3 bucket. The project is automated using crontab to run daily at 12:00 AM.

Installation:

Prerequisites:
- Python installed on your system
- AWS credentials configured with appropriate permissions
- Boto3 library installed:
```
  pip install boto3
```
Clone the Repository:
```
 git clone 
 cd aws-memory-monitoring
```

Usage:

Set Up AWS Credentials: Ensure your AWS credentials are properly configured to allow the Boto3 library to interact with your AWS account.

Creation of S3 Bucket:

create a python code for the creating s3 project

 import boto3

 s3=boto3.client('s3')

 bucket_name='my-aws-python-buckt123'

 s3.create_bucket(Bucket=bucket_name)

 print("Bucket created successfully")

Creating Shell Script to free Cache memmory

 #!/bin/bash

 echo $time >>available-memmory.txt
 a=$(free -h | grep Mem | awk '{print $7}')

 echo "available memory before clearing cache: $a" >>available-memmory.txt

 sudo sync; echo 3 > /proc/sys/vm/drop_caches 

 b=$(free -h | grep Mem | awk '{print $7}')

 echo "available memory after clearing cache: $b " >>available-memmory.txt

create a python script to upload file in s3 bucket

 import boto3

 s3=boto3.client('s3')

 bucket_name='my-aws-python-buckt123'

 file_path='/home/kus/Documents/python-aws-script/available-memmory.txt'

 object_name='available-memmory.txt'

 s3.upload_file(file_path,bucket_name,object_name)

 print("File uploaded successfully")

Run the Memory Monitoring Script:
```
 ./memory_monitoring.sh
```
This shell script will record available memory before and after clearing the cache and store the results in available-memmory.txt.
Set Up Crontab: Edit your crontab using crontab -e and add the following line to automate the script daily at 12:00 AM: The first Command automate the script file The second Command automate uploading the file to s3 Bucket
```
 0 0 * * * /path/to/aws-memory-monitoring/memory_monitoring.sh

 0 0 * * * python3 ./home/kus/Documents/shell-scripting-projects/aws-s3-function.py
```

Project Name: AWS S3 Memory Monitoring

Table of contents

Description:

Installation:

Usage: