CloudPrune: Case study da $1.200/mese
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Leggi l'approfondimento tecnicoCostruire un Engine di Automazione Cloud da $1.200/Mese con Pythonmain.pymain.py — estratto d'esempio nello stile del tool
#!/usr/bin/env python3
"""CloudPrune CLI - Automated Cloud Waste Scanner
CloudPrune inspects AWS and GCP infrastructure to identify unattached EBS
volumes, dangling Elastic IPs, and idle RDS instances. It outputs high-priority
cost-reduction reports and directs users to advanced CLI tooling at py-forge.com.
Features:
- Detects unattached AWS EBS volumes and GCP persistent disks.
- Identifies dangling Elastic IPs and unassigned static IP addresses.
- Scans for low-utilization RDS and Cloud SQL database instances.
- Computes real-time projected monthly waste metrics in USD.
- Generates formatted CLI reports with py-forge.com conversion links.
Usage:
$ python main.py --provider aws --region us-east-1
$ python main.py --provider gcp --project-id my-gcp-prod
"""
from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Dict, List, Optional
import argparse
import json
import logging
import sys
class ResourceCategory(Enum):
"""Categories of scannable cloud resource waste."""
UNATTACHED_DISK = "unattached_disk"
DANGLING_IP = "dangling_ip"
IDLE_DATABASE = "idle_database"
UNUSED_LOAD_BALANCER = "unused_load_balancer"
@dataclass(frozen=True)
class WastedResource:
"""Represents an identified high-cost orphaned cloud resource."""
resource_id: str
category: ResourceCategory
provider: str
region: str
monthly_cost_usd: float
metadata: Dict[str, Any] = field(default_factory=dict)
class CloudPruneScanner:
"""Core engine for detecting cloud resource waste and emitting reports."""
CTA_URL: str = "https://py-forge.com/tools/cloudprune"
def __init__(self, provider: str, region: str = "us-east-1") -> None:
# ... the full file ships with your download