Coral Watchdog is an autonomous incident response platform that continuously watches your infrastructure, correlates failures with engineering activity, and generates AI-powered root cause analysis in seconds.
Unlike traditional monitoring systems, Coral Watchdog combines:
- 🐳 Docker runtime intelligence
- 🔗 GitHub engineering context
- 💬 Slack operational awareness
- 🧠 GPT-4o-mini incident reasoning
- ⚡ Coral SQL cross-source joins
—all inside one live animated dashboard.
Most monitoring tools only tell you something failed.
Coral Watchdog tells you:
- what failed
- why it probably failed
- which PR likely caused it
- who deployed it
- which services are impacted
- how to fix it faster
No ETL pipelines. No custom ingestion layers. No observability warehouse.
Just live operational intelligence.
Coral Watchdog includes a cinematic dashboard inspired by:
- Linear
- Vercel
- Datadog
- GitHub Pulse
- sci-fi command center UIs
- Smooth animated metric cards
- Real-time incident stream
- Pulsing service health indicators
- Animated deployment timelines
- Live container heartbeat effects
- Auto-updating logs terminal
- AI incident feed with typing animations
- Dynamic charts + moving gradients
- Floating particle background effects
- Dark / light adaptive themes
- Zero page reloads
Every incident appears with:
- AI-generated root cause summary
- suspected deployment correlation
- impacted containers
- probable remediation steps
- incident severity scoring
- precise timestamps
SELECT
dc.image,
dc.status,
dc.state,
gp.title AS last_pr,
gp.user__login AS author,
sc.name AS slack_channel
FROM docker.containers dc
LEFT JOIN github.pulls gp
ON gp.owner = 'your-org'
AND gp.repo = 'your-repo'
LEFT JOIN slack.channels sc
ON 1=1
WHERE dc.state != 'running'
LIMIT 20;This single query joins:
- Docker runtime failures
- GitHub pull request activity
- Slack communication systems
—in real time.
graph TD
A[Docker Engine API] --> D[Coral SQL Layer]
B[GitHub API] --> D
C[Slack API] --> D
D --> E[Go Incident Agent]
E --> F[Health Watcher]
E --> G[Animated Dashboard]
F --> H[GPT-4o-mini via GitHub Models]
H --> I[AI Root Cause Analysis]
I --> J[Slack Incident Alerts]
The frontend is designed as a premium motion dashboard using:
- animated glass cards
- soft neon glow effects
- blur-based panels
- dynamic gradients
- live charts
- smooth transitions
- responsive layouts
- microinteractions
| Feature | Tech |
|---|---|
| Animated charts | Chart.js / ApexCharts |
| Fluid transitions | Framer Motion |
| Live sockets | WebSockets |
| Background particles | tsParticles |
| Motion counters | CountUp.js |
| Glassmorphism | CSS backdrop filters |
| Terminal feed | xterm.js |
- infrastructure health score
- active incidents
- container uptime
- deployment velocity
- AI alert summaries
- live Docker container grid
- CPU + memory monitoring
- restart count tracking
- animated health pulses
- visual unhealthy indicators
- GPT-4o-mini generated incident summaries
- severity tagging
- probable causes
- rollback recommendations
- incident timelines
Natural language → Coral SQL conversion.
Example:
show unhealthy containers related to latest PRsAutomatically translated into Coral SQL and executed live.
This README is designed to feel alive using:
- animated typing banners
- live gradient headers
- motion GIF sections
- floating badges
- capsule-render animations
- dynamic GitHub stats
- cyberpunk dashboard aesthetics
- terminal-style UI blocks
| Technology | Purpose |
|---|---|
| Go 1.22+ | Core backend engine |
| Coral SQL | Cross-source querying |
| Docker Engine API | Infrastructure monitoring |
| GitHub API | PR correlation |
| Slack API | Team alerts |
| GPT-4o-mini | AI reasoning engine |
| HTML/CSS/JS | Real-time frontend |
| WebSockets | Live dashboard updates |
- Kubernetes support
- OpenTelemetry traces
- distributed incident graphing
- auto-remediation workflows
- multi-cluster monitoring
- AI anomaly prediction
- Grafana integration
- GitHub Actions correlation
- live deployment replay
- AI copilots for debugging
Modern infrastructure produces massive operational noise.
Coral Watchdog transforms that chaos into:
- actionable intelligence
- correlated incidents
- AI-assisted debugging
- real-time operational awareness
It is not just another monitoring dashboard.
It is an AI-powered operational command center.
MIT License.