Awesome Observability

SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps.

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.

AI observability platform for production LLM and agent systems.

eBPF Observability - Distributed Tracing and Profiling

Observe any stack, any service and any data, using any UI components you prefer, never missing any X factors and resolve them before they become real problems.

Distributed tracing without code changes. 🚀 Instantly monitor any application using OpenTelemetry and eBPF

OpenTelemetry Collector distribution with programmable pipelines

OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.

Distributed version of Spring Petclinic built with Spring Cloud

Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry.

DataBuff is an AI-native APM built on Opentelemetry，with multi-agent troubleshooting out of the box.

inspectIT Ocelot - Java agent for collecting application performance, tracing and behavior data

🇺🇦🇵🇱 A static analysis tool for OpenTelemetry Collector configurations. Built on OPA/Rego, it validates your pipelines, receivers, processors, and exporters against customizable policy rules – catching misconfigurations before they reach production

Observability for AI coding assistants — cost tracking, efficiency scoring, and anti-pattern detection for Claude Code, Cursor, Copilot, and more. Local-first; New Relic optional.

Unified observability for logs, metrics and traces — low overhead instrumentation (Rust, Unreal Engine 5), OTLP ingestion, SQL analytics on DataFusion over Parquet, presentation through notebooks, Grafana and Python. Self-hosted.

Self-hosted observability platform — error tracking, performance tracing, metrics, uptime monitoring, and profiling.

Local-first observability dashboard for AI agents. MCP-native. Look at every span your agents emit.

Local-first DevTools for AI calls. See every LLM call your app makes: prompt, cost, tokens, latency, tool calls.

Node.js boilerplate. Docker and Kubernetes ready. Observability (health, logs, metrics, traces) included.

Grafana-native LLMOps dashboards for FinOps, agents, quality and AI governance, generated and visually verified.

Integration bundle for Bering and Sheaft with Helm, OpenTelemetry overlays, dashboards, and CI/CD adapters

Production-ready OpenTelemetry Collector configs, validated in CI and pinned to otelcol-contrib 0.161.0: hardened OTLP agent, file logs to Loki, basic PII redaction with OTTL. Docker Compose included. MIT.

Privacy-first endpoint health for Node, Go, and OpenTelemetry services.