UNCCD Platform Ops Playbook: Maintenance, Monitoring, and Backups

Shipping a GIS app is one thing. Keeping it reliable for real program teams is another.

This playbook captures the operations model I used in my UNCCD-style semi-project: UNCCD Land Restoration Observatory (Prototype)

1) Maintenance Workflow

Use a simple and strict cycle:

1. Intake issue (bug/enhancement/support)
2. Reproduce and classify impact
3. Fix with linked commit + changelog note
4. Validate in test environment
5. Deploy with rollback note and post-check

This removes ambiguity when multiple stakeholders are involved.

2) Monitoring Baseline

Track only what matters first:

• Active users per day/week
• Map interaction volume
• API latency and error rate
• Report generation success/failure
• Backup job success/failure

Everything else can come later.

3) Reporting Cadence

Recommended default:

• Monthly: traffic trends, engagement patterns, anomaly log
• Quarterly: KPI summary, platform reliability trends, improvement backlog

If a dashboard cannot support these two outputs, the data model is usually incomplete.

4) Backup and Retention

backup_policy:
  incremental: daily
  full: weekly
  retention:
    hot_storage_days: 30
    archive_months: 12
  restore_drill:
    cadence: monthly
    target_rto_minutes: 60

The restore drill is non-negotiable. Backups are only real if restore works.

5) Minimal Alert Rules

const alertRules = [
  { name: "traffic_drop", condition: "daily_users < baseline * 0.6" },
  { name: "traffic_spike", condition: "daily_users > baseline * 1.8" },
  { name: "api_error_rate", condition: "error_rate > 0.05" },
  { name: "backup_failure", condition: "last_backup_status !== 'success'" },
];

The goal is signal, not noise.

6) Documentation That Helps

Keep four short docs always updated:

• System map (components + data flow)
• Runbook (incidents + escalation)
• Reporting definitions (monthly + quarterly fields)
• Backup/restore SOP

Final Note

For teams around the Convention to Combat Desertification, technical quality is not enough by itself. Reliable maintenance, predictable reporting, and disciplined backup routines are what make platforms useful long-term.