Best Observability and Application Monitoring Tools

Built for robotics and embedded systems. Stay ahead of failures with local monitoring — even in low-connectivity or network-denied environments.

Monitor your AI app the right way. AI engineers use Raindrop to get alerts about hidden issues in their AI products.

Understand how users interact with your AI agents. Detect frustration, analyze user feedback, cluster topics, and catch silent failures—all with 5 lines of code.

Transforms app quality into business outcomes with AI-powered mobile observability. Automate detection, resolution, and prevention for seamless app experiences at scale.

A modern OpenTelemetry Native Observability, built on CNCF Open Standards such as PromQL, Perses and OTLP with full cost control

AI that understands your production system,

An AI-powered site reliability engineering (SRE) and incident response platform.

Open-source platform to trace, evaluate, and improve AI agents. Debug LLM calls, track tool use, and run evaluations on your AI applications.

Evaluation and observability layer for AI agents using judge‑grade LLMs.

Collaborative platform for testing, evaluating, and improving GenAI applications.