Q Observability: Full-Stack Visibility
Unify metrics, logs, and traces into a single intelligent pane of glass. Detect anomalies faster, reduce MTTR, and ship with confidence.
Built for Modern Infrastructure
Everything you need to monitor, debug, and optimize cloud-native applications without the vendor lock-in.
High-Cardinality Metrics
Query billions of data points in milliseconds with native time-series storage and automatic downsampling.
Full-Stack Tracing
End-to-end request visualization across microservices, serverless functions, and third-party APIs.
AI Anomaly Detection
Machine learning models that learn your baseline and alert only on truly significant deviations.
Real-Time Log Streams
Low-latency ingestion with structured parsing, sampling controls, and seamless trace correlation.
Intelligent Alerting
Dynamic thresholds, alert routing, auto-resolution, and quiet hours to eliminate noise and fatigue.
Enterprise Security
SOC2 compliant, SSO/SAML, RBAC, audit logs, and end-to-end encryption for all telemetry data.
How Q Observability Works
A unified telemetry pipeline designed for scale, reliability, and simplicity.
Instrument
Drop in our lightweight OpenTelemetry SDK or use pre-built agents for Kubernetes, AWS, and major frameworks.
Ingest
Telemetry flows through our global edge network with automatic compression, deduplication, and schema validation.
Analyze
AI-powered correlation engine links metrics, logs, and traces to pinpoint root causes instantly.
Act
Trigger automations, runbooks, or alerts directly from the dashboard. Integrate with Slack, PagerDuty, or custom webhooks.
Works With Your Stack
Native connectors for every major platform, database, and monitoring tool.
Frequently Asked Questions
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