Core
Real-time log streaming
Application, container, and Traefik access logs stream live to the dashboard via WebSockets. No polling, no delay.
AI Monitoring & Observability
Active intelligence, not passive dashboards
Stream logs and metrics in real time while AI detects anomalies, forecasts saturation, and correlates cascading failures across your stack.
6 capabilitiesCoreAI
AI Monitoring & Observability
What's included
Everything AI Monitoring & Observability brings to your stack.
Core
Container metrics monitoring
CPU, memory, and network usage tracked per container with visual dashboards for at-a-glance health status.
AI
AI anomaly detection
Continuously analyses log patterns and metric trends. Detects error rate spikes, latency degradation, and new failure patterns before they escalate.
AI
Resource forecasting
Tracks CPU, memory, and disk consumption trends and generates forward-looking saturation forecasts so you can scale before hitting a wall.
AI
Cascading failure correlation
Cross-correlates events across all services to identify when one failing dependency is causing downstream failures throughout the stack.
AI
AI incident dashboard
Unified view of all AI-enriched observability signals: deployment health, error trends, incident timeline, resource graphs, and AI-generated health summaries.
Explore more features
One platform for deployment, monitoring, diagnosis, and your team.
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