observability

The fastest path to AI-powered full stack observability, even for lean teams.

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

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.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

eBPF-based Networking, Security, and Observability

APM, Application Performance Monitoring System

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

CNCF Jaeger, a Distributed Tracing Platform

A high-performance observability data pipeline.

Why is this running? Trace any process, port, container, or file back to what started it - CLI + TUI.

Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Your window into all of your data

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

Zipkin is a distributed tracing system

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

Build production-ready applications in TypeScript

Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.

Nightingale is to monitoring and alerting what Grafana is to visualization.

eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.