Scaling AI Ops

Horizontal Scaling

  • Multiple XTERM-VNC instances for parallel execution
  • Load balancing across manager agents
  • Distributed verification workers

Vertical Scaling

  • Increase thinking tokens (100K for complex tasks)
  • Use Sonnet 4.5 for reasoning-heavy operations
  • Cache RAG results for repeated queries

Process Automation Patterns

Pattern Use Case
One-Two Approach Fast (simple) vs Verified (complex) paths
Blocking Verification Zero fake completions policy
Visual QA Screenshot diff with GPT-vision fallback

Monitoring & Metrics

  • Task success rate: Target 95%+
  • Average completion time: Track per complexity
  • Visual diff ratio: Alert if > threshold
最終更新日時: 2025年 12月 3日(水曜日) 05:50