Intermediatereporting

OCI Stopped Instances Detective

Professional Python script that discovers and analyzes stopped compute instances across Oracle Cloud Infrastructure like a detective chef tracking forgotten ingredients. Fast parallel processing with comprehensive CSV + HTML reporting.

⏱️ Prep Time:Perfect stir-fry timing
🧩 Difficulty:Intermediate

🔍 What It Does

  • ⚡ High-performance parallel processing across regions and compartments with configurable worker threads
  • 🌍 Automatic region discovery or targeted regional analysis for focused resource management
  • 🏢 Smart compartment discovery with intelligent caching and specific compartment targeting
  • 👤 Comprehensive owner detection through freeform and defined tag analysis patterns
  • 📅 Intelligent age calculation with timezone handling and configurable day-based filtering
  • 📊 Dual report formats: structured CSV for analysis and rich HTML for executive presentation
  • 🛡️ Robust error handling with retry logic, timeout management, and graceful failure recovery
  • 📈 Real-time performance tracking with API call monitoring and processing speed metrics

⚙️ Requirements Checklist

  • ✅ Python 3.6+ with concurrent.futures and asyncio support
  • ✅ OCI Python SDK installed (pip install oci) with proper configuration
  • ✅ Valid OCI config file (~/.oci/config) with appropriate authentication setup
  • ✅ IAM permissions for read access to compute instances and compartments
  • ✅ Network connectivity to OCI API endpoints with configurable timeout settings

📌 Talk Nerdy Tip:

Start with a complete tenancy scan to get baseline visibility, then use age-based filtering (30+ days) for focused cleanup analysis. Like taking inventory of your entire kitchen before deciding what to keep. 👨‍🍳

oci-instancesoracle-cloudstopped-instancesresource-discoverypythoncsv-exporthtml-reportsparallel-processingowner-detectionlifecycle-management