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.
#apm
16 tools curated in this category — including bitdrift Capture, HyperProbe, bitdrift AI
techFind on mySelectas all sites and tools related to apm. This selection of 16 resources is reviewed and maintained by the community. The most popular include bitdrift Capture, HyperProbe, bitdrift AI. Each tool comes with a review, tags, comparisons and alternatives to help you make the best choice.
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.
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.
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.
An observability tool that traces prompts, spans, tokens, errors and model calls once your AI app is in production.
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.
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.
An observability platform built entirely around the open OpenTelemetry standard, so your monitoring data isn't locked into one vendor.
A free, open-source tool that watches your Kubernetes cluster and tells you what broke and why, without adding any code to your apps.
A free, self-hosted dashboard that shows you exactly what your AI agents did, why they cost what they cost, and where they broke.
An open-source platform that watches your AI agents in production and can automatically catch and fix regressions before users notice them.
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 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.
AI-native observability platform that lets engineers debug production issues by asking questions in plain language instead of digging through logs.
Open-source observability platform that unifies traces, metrics and logs in one OpenTelemetry-native tool, self-hosted or cloud.
Observability platform for debugging production systems with distributed tracing, BubbleUp anomaly analysis, and AI-assisted querying.