💾 Disk Space Management Patterns

Prevent "Disk Full" outages before they happen.

This pattern goes beyond simple log rotation. It intelligently manages disk space based on usage trends, file types, and application priority.

🧠 The AI Advantage

Standard tools just delete files older than X days. ANSAI adds intelligence:

1. Predictive Cleaning: "Disk will fill up in 3 days at current rate -> Clean now."
2. Context-Aware: "Is this a temp file or a critical backup?"
3. Safe Expansion: "Volume is 90% full -> Auto-expand EBS volume (if cloud)."

🛠️ Implementation

1. The Cleanup Policy

Define rules in defaults/main.yml:

disk_cleanup_rules:
  - path: /var/log/app
    pattern: "*.log"
    age: 7d
    strategy: "archive_then_delete"

  - path: /tmp/scratch
    pattern: "*"
    threshold_percent: 85
    strategy: "aggressive_delete"

2. The Playbook

- name: Smart Disk Cleanup
  hosts: all
  roles:
    - role: sysadmin/disk_cleaner
      vars:
        dry_run: false

3. Intelligent Sensors

The monitoring agent watches for: - Rapid fill rate (Log explosion?) - Inode exhaustion (Too many small files?) - Large orphaned files (Deleted but open?)

🤖 Example Workflow

1. Sensor detects /var is at 85%.
2. AI Analyzer checks growth rate. "It's growing 1% per hour."
3. Decision Engine triggers disk_cleaner role with strategy: normal.
4. Validation confirms disk usage dropped to 60%.
5. Notification sent to Slack: "Prevented disk outage on web-01. Cleaned 5GB of logs."