Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health.
The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and retrieval-augmented generation workflows.
The system covers a broad surface of observability capabilities, including real-time service topology visualization, automated alerting based on metric thresholds, and full-stack trace correlation. It provides instrumentation for various languages and environments, including eBPF auto-instrumentation for zero-code collection and native support for Kubernetes and serverless deployments.
The platform can be deployed via Docker Compose, Helm charts, or Ansible, and supports observability-as-code using Terraform or YAML configurations.