#observability

TraceLLMNew

An observability tool that traces prompts, spans, tokens, errors and model calls once your AI app is in production.

AllStakNew

Puts error tracking, logs, distributed tracing and infrastructure metrics in one dashboard instead of four separate subscriptions, aimed at teams that don't want to stitch together Sentry, a log tool and a metrics tool by hand.

ServiceRadar

A free, open-source tool for watching over network infrastructure spread across remote or hard-to-reach sites — think branch offices, edge locations or restricted networks — where you can't just install a normal monitoring agent everywhere.

HyperDX

A free, open-source observability platform that unifies logs, metrics, traces, errors and session replays in one searchable interface — a self-hosted alternative to Datadog.

Metoro

An AI 'site reliability engineer' for Kubernetes that finds the cause of production incidents on its own and opens a pull request with the fix.

Dash0

An observability platform built entirely around the open OpenTelemetry standard, so your monitoring data isn't locked into one vendor.

Coroot

A free, open-source tool that watches your Kubernetes cluster and tells you what broke and why, without adding any code to your apps.

TrueFoundry

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.

Laminar

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.

Confident AI

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.

Sazabi

AI-native observability platform that lets engineers debug production issues by asking questions in plain language instead of digging through logs.

Cortex

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.

SigNoz

Open-source observability platform that unifies traces, metrics and logs in one OpenTelemetry-native tool, self-hosted or cloud.

PromptLayer

Collaboration platform for AI teams to manage, test and monitor the prompts that power their LLM applications.

Honeycomb

Observability platform for debugging production systems with distributed tracing, BubbleUp anomaly analysis, and AI-assisted querying.

Highlight.io

Open-source fullstack monitoring: session replay, error tracking, logging and tracing in one self-hostable platform.

Helicone

Open-source AI gateway and LLM observability: one API for 100+ models, cost and latency tracking, prompt management.

GreptimeDB

Open-source observability database unifying metrics, logs and traces: SQL and PromQL, written in Rust, object-storage native.

Braintrust

AI eval and observability platform: tracing, LLM and human scoring, quality gates. Used by Vercel, Notion and Replit.

PostgresAI

AI-native Postgres observability: 45+ automated health checks, query and config tuning, agent-ready JSON and MCP output. Open source.