AI-native Postgres observability: 45+ automated health checks, query and config tuning, agent-ready JSON and MCP output. Open source.
Results for “observability”
32 tools found
AI eval and observability platform: tracing, LLM and human scoring, quality gates. Used by Vercel, Notion and Replit.
Open-source observability database unifying metrics, logs and traces: SQL and PromQL, written in Rust, object-storage native.
Open-source AI gateway and LLM observability: one API for 100+ models, cost and latency tracking, prompt management.
Open-source fullstack monitoring: session replay, error tracking, logging and tracing in one self-hostable platform.
Observability platform for debugging production systems with distributed tracing, BubbleUp anomaly analysis, and AI-assisted querying.
Collaboration platform for AI teams to manage, test and monitor the prompts that power their LLM applications.
Open-source observability platform that unifies traces, metrics and logs in one OpenTelemetry-native tool, self-hosted or cloud.
AI-native observability platform that lets engineers debug production issues by asking questions in plain language instead of digging through logs.
A dashboard that tells you whether your AI feature is actually getting worse or better over time, built on top of a popular open-source testing library instead of asking you to guess from user complaints.
A dashboard that shows you exactly what your AI agent did, step by step, when it fails — every tool call, every sub-agent, every LLM response — instead of leaving you to guess from a wall of logs.
A control panel for getting AI models and agents from a developer's laptop into real production use — deployment, scaling, and governance — built to run on whichever cloud a company already uses instead of locking them into one.
Internal developer platform that auto-maps a company's services into a catalog and uses scorecards to track production readiness, compliance and AI-adoption impact.
Powerful server monitoring in a unified platform for metrics and logs, with no setup complexity. Free for one server.
Full-stack observability
Open-source monitoring and observability
Observability data pipeline
Unified observability
Machine learning observability for model monitoring and root-causing issues such as data quality and performance drift. Free up to two models.
Simulate, evaluate, and observe your AI agents. Maxim is an end-to-end evaluation and observability platform, helping teams ship their AI agents reliably and >5x faster. Free forever for indie developers and small teams (3 seats).