This collection contains 20 essential Python Boto3 scripts designed for AWS DevOps automation1. These scripts address real-world infrastructure management challenges, helping reduce manual tasks, minimize human error, and optimize cloud operations1.
# Install Boto3
pip install boto3
# Configure AWS CLI
aws configure
import boto3
s3 = boto3.client('s3')
response = s3.list_buckets()
print("Existing S3 Buckets:")
for bucket in response['Buckets']:
print(f"- {bucket['Name']}")
- EC2 Instance Control - Start/stop/restart/terminate instances for deployment and troubleshooting1
- Unhealthy Instance Recovery - Automatically detect and reboot failed instances1
- Underutilized Instance Management - Stop idle instances to reduce costs1
- AMI Creation - Automated backup image creation1
- Resource Tagging - Improve governance and billing clarity1
- EBS Volume Cleanup - Identify and delete unattached volumes to reduce storage costs1
- S3 Object Lifecycle - Delete old objects based on retention policies1
- S3 Bucket Sync - Cross-region backup automation1
- S3 Versioning - Enable versioning across all buckets for recovery and audit1
- IAM Key Rotation - Critical security compliance automation1
- Security Group Audit - Check for open access risks1
- IAM Policy Visibility - List users and attached policies1
- CloudWatch Alarms - Automated monitoring setup1
- AWS Billing Monitoring - Cost tracking for daily reports1
- DynamoDB Backup - Export data to S3 for regular backups1
- RDS Snapshots - Automated database backup creation1
- Lambda Management - Function deployment and version cleanup1
- Route53 DNS Updates - Support dynamic IP changes1
- Snapshot Cleanup - Enforce retention policies by deleting outdated snapshots1
- Cost Optimization - Automated cleanup of unused resources reduces AWS bills1
- Security Enhancement - Regular key rotation and security audits improve compliance1
- Operational Efficiency - Streamlined deployment and monitoring processes1
- Error Reduction - Automation minimizes manual configuration mistakes1
These scripts are designed for integration into1:
- CI/CD pipelines
- Lambda scheduled tasks
- Internal DevOps tooling
- Automated monitoring systems
Each script includes error handling and can be executed independently or as part of larger automation workflows1. The collection provides a solid foundation for AWS infrastructure automation, suitable for managing everything from single instances to large-scale deployments1.
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