AWS CLI Management Tool

AWS CLI Management Tool is a Python-based command-line application designed to simplify and automate AWS resource management. This tool provides a centralized solution for performing key operations such as fetching details, creating resources, deleting resources, and monitoring their status.

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Features

1. Fetch AWS Resources

• Retrieve details of various AWS resources globally or regionally.
• Display data in a structured table for easy readability.
• Supports fetching details for:
  • S3 Buckets
  • EC2 Instances
  • Lambda Functions
  • RDS Instances
  • EBS Volume
  • DynamoDB
  • BeanStalk
  • LoadBalancers
  • API Gateway
  • ECS Cluster
  • EKS Cluster
  • EMR Cluster
  • RedShift Cluster
  • SES Identities
  • IAM Roles

2. Delete AWS Resources

• Allows deletion of specific AWS resources with interactive prompts.
• Handles edge cases such as versioning and non-empty S3 buckets.
• Ensures a safe deletion process with user confirmations for critical operations.
• Supports deleting:
  • S3 Buckets
  • EC2 Instances
  • Lambda Functions
  • RDS Instances
  • EBS Volume
  • DynamoDB
  • BeanStalk
  • LoadBalancers
  • API Gateway
  • ECS Cluster
  • EKS Cluster
  • EMR Cluster
  • RedShift Cluster
  • SES Identities

3. Create AWS Resources

• Provides an interactive flow to create new AWS resources.
• Supports detailed configurations, including runtime, roles, and environment variables for Lambda functions.
• Resources supported for creation:
  • EC2 Instances
  • S3 Buckets
  • AWS Lambda Functions (with code deployment via ZIP file)

4. Monitor AWS Resources

• Track the state and health of key AWS resources.
• Provides a global view of resource statuses.
• Logs resource-related details for auditing and tracking.
• Currently it is working in progress

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Prerequisites

1. Python 3.8 or higher
2. pip3 installed
3. AWS CLI installed and configured with appropriate permissions with Credentials

Configure AWS Cred.

aws configure

Example

$ aws configure
AWS Access Key ID [None]: accesskey
AWS Secret Access Key [None]: secretkey
Default region name [None]: us-west-2
Default output format [None]:

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Installation

1. Clone the Repo

git clone https://github.com/infosecsingh/AWS-CLI-Management-Tool.git
cd AWS-CLI-Management-Tool/

2. Install dependencies

pip install -r requirements.txt 

Usage

1. Running the Tool

Start the tool by running:

python main.py

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2. Available Options

The tool provides a main menu with the following options:

1. Fetch AWS Resources
   Fetch details about AWS resources and display them in a table.

2. Delete AWS Resources
   Safely delete resources like S3 buckets and Lambda functions.

3. Create AWS Resources
   Use interactive prompts to create AWS Lambda functions with custom configurations.

4. Monitor AWS Resources
   View the current state and health of AWS resources.

5. Exit
   Quit the tool.

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Examples

Fetching S3 Buckets

Fetching S3 Buckets Globally....
+--------------+--------+---------------------+-------+
| ResourceType | Region |      BucketName     | State |
+--------------+--------+---------------------+-------+
|      S3      | Global | example-bucket-1    |  N/A  |
|      S3      | Global | example-bucket-2    |  N/A  |
+--------------+--------+---------------------+-------+

Deleting a Bucket

Enter S3 bucket names to delete (comma-separated): example-bucket-1
Processing bucket: example-bucket-1...
Bucket 'example-bucket-1' deleted successfully.

Creating a Lambda Function

Enter the name for the Lambda function: MyLambdaFunction
Enter the runtime for the Lambda function (e.g., 'python3.8'): python3.9
Enter the handler for the Lambda function (e.g., 'lambda_function.lambda_handler'): my_handler
Enter the IAM role ARN for the Lambda function: arn:aws:iam::123456789012:role/MyRole
Enter the path to the ZIP file containing the Lambda function code: ./function.zip
Environment variable key (or press Enter to finish): ENV_VAR_1
Enter value for ENV_VAR_1: value1
Environment variable key (or press Enter to finish):
Lambda function 'MyLambdaFunction' created successfully.

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Logging and Data Saving

• All details fetched or created can be optionally saved as JSON files for record-keeping.
• Logs important actions like deletions and creations for auditing purposes.

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Known Limitations

• Ensure appropriate AWS permissions are configured for the user or role running the tool.
• The tool is limited to resources supported by AWS SDK (boto3).

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Contributions

Contributions and feedback are welcome! Feel free to submit issues or pull requests.

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License

This project is licensed under the MIT License. See the LICENSE file for more details.

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Authors

Developed by Inderjeet Singh(infosecsingh).

Contributing

Contributions of all types are more than welcome; if you are interested in contributing code, feel free to check out

Help us make AWS CLI Management Tool better. Welcome to provide design feedback, user experience discussions directly to us. **Principal Maintainers: @infosecsingh