Results for “monitoring”

PostgresAI

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

Braintrust

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

GreptimeDB

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

Helicone

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

Highlight.io

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

Honeycomb

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

LaunchDarkly

Feature flag and release management platform letting teams turn features on or off in production instantly, without redeploying code.

SigNoz

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

Mendral

AI DevOps agent that watches your CI/CD pipeline, investigates failures, reviews code and triages incidents around the clock.

Sazabi

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

Credo AI

A control room for every AI system a company uses — tracking what exists, what risk it carries, and whether it meets legal requirements — so compliance doesn't mean chasing spreadsheets across departments when an audit or new regulation shows up.

Holistic AI

A platform that started by checking AI systems for unfair bias and has grown into a full compliance dashboard — finding AI a company didn't even know it was using, and tracking whether all of it meets legal and ethical standards.

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.

Agnost AI

Analytics tool that reads real conversations your AI chatbot or voice agent had with users and automatically writes a code fix when it spots a recurring failure pattern.

BentoLabs AI (Bento)

Monitoring layer for long-running AI agents that notices when an agent quietly drifts off its instructions or starts failing silently, and suggests a fix before it causes real damage.

Velum Labs

Tool that watches every query hitting a company's data warehouse, catches bad data before it reaches a dashboard, and automatically writes the rule that prevents it from happening again.

incident.io

Incident management platform built entirely around Slack, with an AI layer that helps draft fixes, and status pages that keep customers informed automatically during an outage.

Rootly

AI-native incident management platform that coordinates the whole outage response in Slack, has an AI assistant that helps find the root cause, and writes the post-incident report for you.

Tusk Drift

A tool that records real production API traffic and automatically turns it into a regression-testing suite.