2271 Instantly Observability 5d34d9e0

# instantly-observability

> Implement monitoring, alerting, and logging for comprehensive Instantly platform visibility

## Directory Structure

```
instantly-observability/
├── SKILL.md
└── examples/
    ├── metrics_exporter.py
    ├── datadog_dashboard.json
    ├── prometheus_config.yml
    ├── alert_rules.yml
    └── logging_config.py
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| SKILL.md | Markdown | Observability architecture and implementation guide |
| metrics_exporter.py | Python | Export Instantly metrics to monitoring systems |
| datadog_dashboard.json | JSON | Pre-built Datadog dashboard for Instantly |
| prometheus_config.yml | YAML | Prometheus configuration for metrics collection |
| alert_rules.yml | YAML | Alert rules for campaign and delivery issues |
| logging_config.py | Python | Structured logging configuration |

## Summary

**Category:** Enterprise
**Target Audience:** SREs and platform engineers building observability
**Trigger Phrases:** "monitor instantly", "instantly observability", "alert on instantly", "instantly metrics", "track instantly performance", "instantly logging"
**Definition of Success (Technical):** Metrics dashboards and alerts configured with SLO tracking
**Definition of Success (Business):** Proactive issue detection before campaign impact
**Production:** true
**Version:** 1.0.0
**License:** MIT
**Author:** Jeremy Longshore <jeremy@intentsolutions.io>