API Monitor Pro: Track Uptime, Latency, and Failures Across Your Entire API Stack

#api #monitoring #python #devtools

Every API you depend on will fail eventually. The question is whether you find out before or after your users do.

API Monitor Pro is a Python package you run yourself, own completely, and pay for once.

What It Does

Scheduled health checking with YAML configuration:

endpoints:
  - name: "User Auth API"
    url: "https://api.yourdomain.com/health"
    interval_seconds: 60
    expected_status: 200
    alert_on_latency_ms: 500

Beyond simple up/down status, it tracks response time history and builds baselines.

Features That Get Used

Latency trending: Catches services degrading from 80ms to 220ms before they go down. Simple monitors miss this.

Multi-endpoint correlation: If three endpoints degrade simultaneously, that is a different diagnosis than one endpoint spiking.

Incident timeline generation: Structured report for every outage - when it started, peak latency, when it resolved, event sequence. Useful for postmortems and SLA reporting.

Alert channels: Email, Slack webhook, local file log.

Running It

pip install api-monitor-pro-1.0.0.tar.gz
api-monitor --config endpoints.yaml --output-dir ./reports

Local dashboard at localhost:8080. SQLite storage. No external dependencies.

What It Is Not

Not a distributed monitoring network. If your monitoring server goes down, you stop getting checks. For teams wanting full data ownership without a monthly fee, it is a complete solution.