Over the past few weeks I've been building an agentic reliability engine designed to do what traditional monitoring tools rarely accomplish:
Detect failures early, understand why they're happening, predict the blast radius—and self-heal automatically.
Below is the full architecture and real screenshots from the working demo.
🏗️ System Architecture
The pipeline uses a multi-agent system:
🕵️ Detective Agent — Anomaly Detection
Continuously monitors telemetry (latency, errors, memory, CPU, throughput) and flags deviations with confidence scoring.
🔍 Diagnostic Agent — Root Cause Analysis
Builds a causal snapshot using FAISS memory, recent deployment diffs, dependency health, and incident similarities.
🔮 Predictive Agent — 15-Minute Failure Forecasting
Estimates time-to-crash, risk level, and expected business impact.
⚖️ Policy Engine — Thread-Safe Circuit Evaluation
Checks reliability rules, budget constraints, SLA thresholds, and determines whether to trigger auto-healing.
🤖 Automated Healing Actions
If risk exceeds policy limits, the framework triggers:
- 🔄 Restart
- ↩️ Rollback
- 📈 Scale Up
- 🛑 Circuit Break
All actions are tracked and fed back into a FAISS memory layer for model improvement and ROI calculations.
📊 Real-Time Demo — Business Impact Dashboard
The dashboard displays:
- 🟣 Total Incidents Analyzed
- 🛠️ Auto-Healed Incidents
- ⚡ Time Improvement vs Industry
- 💰 Revenue Saved
- ⏱️ Detection Time
- 📉 Response Benchmarks
Example from a recent run:
- Industry Avg Response: 14 minutes
- ARF Response: 2.3 minutes
- Result: ~6× faster incident resolution
🧪 Example Scenario — Memory Leak Time Bomb
Telemetry:
- Memory climbing 2%/hr
- Current: 94%
- Time to crash: ~18 minutes
Agent Verdict:
- Confidence: 89.5%
- Insights: latency spikes, error-rate jump, suspect recent deployments
- Business Impact: \$119.17 / 6710 users at risk
- Auto-Actions: restart, rollback, alert team, circuit break
📈 Early Traction
The public demo is already seeing organic traffic:
- All-time visits: 279
- Last month: 255
- Last week: 91
And that’s before any formal announcement.
🚀 What’s Next?
- Adding LLM-powered incident postmortems
- Integrating OpenTelemetry ingestion
- Deploying a Kubernetes operator version
- Extending the predictive engine to multi-service cascades
If you're interested in reliability automation, agentic systems, or want to collaborate, I’d love to connect.
GitHub Repo:
https://github.com/petter2025/agentic-reliability-framework
LIVE DEMO: https://huggingface.co/spaces/petter2025/agentic-reliability-framework
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