Build a Self-Healing System in 100 Lines of Python

Описание и применение

Создан компактный Python‑скрипт, автоматически обнаруживающий и исправляющий типичные проблемы (CPU, диск, сервисы, OOM, соединения БД), что снижает ручное вмешательство до 80 % случаев.

Задача

Incidents in production systems often require manual intervention, causing downtime and alert fatigue.

Результат

Implemented a compact, rule‑based self‑healing daemon that automatically resolved 80% of incidents, reducing manual intervention and improving uptime.

Рабочий процесс

• 1. Monitor system metrics via subprocess calls (top, df, systemctl).
• 2. Evaluate each rule’s check lambda against thresholds.
• 3. If a rule triggers and cooldown elapsed, execute its heal function.
• 4. Log heal actions and update last_heal timestamps.
• 5. Optionally verify post‑heal state before proceeding.

Доказательства

I built a self‑healing layer that handled 80% of incidents automatically.

Источник