Monitoring extension collecting errors and statistics into SQLite/MySQL/StatsD.
Results for “apm”
23 tools found
Observability platform for debugging production systems with distributed tracing, BubbleUp anomaly analysis, and AI-assisted querying.
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.
An open-source platform that watches your AI agents in production and can automatically catch and fix regressions before users notice them.
A free, self-hosted dashboard that shows you exactly what your AI agents did, why they cost what they cost, and where they broke.
A free, open-source tool that watches your Kubernetes cluster and tells you what broke and why, without adding any code to your apps.
An observability platform built entirely around the open OpenTelemetry standard, so your monitoring data isn't locked into one vendor.
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.
A privacy-focused API monitoring tool that shows you request metrics, errors, and traces for your backend with a few lines of setup, across 23+ frameworks in Python, Node.js, Go, C# and Java.
A tool that shows engineers exactly which part of their app is slow or broken, by collecting traces, metrics and logs from the code in one place — built on the free, open OpenTelemetry standard instead of a proprietary agent.
Gives an AI agent full, unsampled access to what's actually happening on a billion-plus mobile devices' worth of app sessions, so it can triage and fix a crash or bug itself instead of an engineer waiting days for the next app release to get more data.
HyperProbe is an AI on-call agent that places read-only breakpoints on suspect code in production to capture live variable state and pinpoint incident root causes without redeploying anything.
Observability platform purpose-built for tracing and cost-tracking LLM applications
An observability tool that traces prompts, spans, tokens, errors and model calls once your AI app is in production.
Mobile observability platform that stores telemetry on-device and only uploads what you actually need, giving real-time visibility into iOS/Android app crashes and performance.
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