aws-delete-all

AWS Delete All Script

Introduction

This script is designed to clean up various resources within specific AWS regions in parallel using Python threading. This script uses boto3, the AWS SDK for Python, and checks the version of boto3 currently installed on your system against the latest available version.

Before deleting any resources, it will create threads for each AWS region, and perform the deletion of resources in each region concurrently.

How to Use in AWS CloudShell

AWS CloudShell is a browser-based shell that you can use to manage your AWS resources. Here's how you can use this script in AWS CloudShell:

1- Open AWS CloudShell from the AWS Management Console.

pip install aws-delete-all

2- Run

aws-delete-all

AWS CLI Setup

Before you can use boto3, you need to set up authentication credentials for your AWS account using the AWS CLI.

You can install AWS CLI using pip:

pip install awscli

aws configure

AWS Access Key ID and AWS Secret Access Key: You can find these on your AWS account. If you don't have one, you can generate it from the AWS Management Console.

Default region name: The region to which AWS CLI directs its requests. You can set any region you want. For example, us-west-2.

Default output format: The output format for AWS CLI. You can set json.

Dependencies

pip install boto3 loguru

Usage

To use this script, simply run it.

python main.py

WARNING: Be very cautious when using this script as it deletes resources.

Resources Deleted This script deletes the following AWS resources in every AWS region:

Amazon EC2:

• delete_instances
• delete_key_pairs
• delete_amis
• delete_launch_templates
• delete_efs_file_systems
• delete_efs
• delete_elastic_ip

Amazon VPC:

• delete_peering_connection
• delete_load_balancer_listener
• delete_load_balancer
• delete_target_groups
• delete_route_tables
• delete_network_interface
• delete_sg
• delete_sgr
• delete_vpc
• delete_subnets
• delete_endpoint
• delete_internet_gateway

Amazon Redshift:

• delete_redshift_serverless_namespace
• delete_all_redshift_clusters
• delete_redshift_subnet_groups

Amazon RDS:

• delete_db_instance_automated_backups
• delete_db_cluster_snapshots
• delete_all_rds_automated_backups
• delete_rds_option_groups
• delete_db_cluster_parameter_groups
• delete_rds_parameter_groups
• delete_rds_subnet_groups
• delete_rds
• delete_db_instances

AWS Lambda:

• delete_lambda_layers
• delete_lambda_functions

Amazon ECS:

• delete_ecs_tasks
• delete_ecs_cluster
• delete_ecs_clusters

Amazon ECR:

• delete_ecr

Amazon S3:

• delete_s3_buckets
• Amazon DynamoDB:

Amazon DynamoDB

• delete_dynamodb_tables
• delete_dynamodb_backup

Amazon Kinesis:

• delete_all_kinesis_data_streams
• delete_firehose_delivery_streams
• delete_all_firehose_streams

Amazon SageMaker:

• delete_all_notebook_instances

Amazon SQS:

• delete_all_sqs (furkanbilgin)

Amazon IAM:

• delete_all_roles(disabled)

AWS Cloud Map

• delete_namespaces

AWS SNS

• delete_sns_topics

AWS Cognito

• delete_cognito_user_pools
• delete_cognito_identity_pools

AWS Athena

• delete_athena_saved_queries

AWS API Gateway

• delete_api_gateways

AWS Config

• delete_config_recorders_and_delivery_channels

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