Overview

Sazabi provides an AI-native observability platform designed for fast-moving engineering teams. It aims to simplify production monitoring by making observability accessible to all developers, not just infrastructure specialists. The product centers on conversational debugging, autonomous alerts that require no setup, and AI-powered analysis of large volumes of unstructured log data to reconstruct metrics and traces. It integrates with major AI coding agents and uses agentic anomaly detection to proactively surface only critical issues. Unlike traditional dashboards that rely on the three pillars of logs, metrics, and traces, Sazabi promotes the idea that logs can be enough to diagnose problems and focuses on a chat-like, question-driven interface to debug systems. The goal is to become the default observability solution for the AI era, reducing cognitive load and alert fatigue while speeding up root-cause analysis and incident response for engineering teams.

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