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SIGNOZ
Open-source observability platform with logs, traces, and metrics
MIT
ABOUT
AI applications and agent workflows generate complex telemetry across multiple services — model inference calls, tool executions, vector database queries, and orchestration logic — making it hard to trace performance bottlenecks and debug failures. SigNoz unifies logs, traces, and metrics in a single OpenTelemetry-native platform, giving AI teams end-to-end visibility into their stack without paying per-seat SaaS licensing costs.
INSTALL
git clone https://github.com/SigNoz/signoz.git
cd signoz
docker compose -f docker/clickhouse-setup/docker-compose.yaml up -d
INTEGRATION GUIDE
1. Monitor LLM application performance with distributed tracing across model APIs, vector stores, and orchestration layers
2. Debug AI agent workflows by correlating logs, traces, and metrics in a single OpenTelemetry-native observability platform
3. Set up alerting and root cause analysis for production AI systems without the per-seat cost of proprietary APM tools
TAGS
observabilityopentelemetrymonitoringtracinglogsmetricsapmself-hosted