Sonarly: AI-driven Production Alert Triage and Resolution

Sonarly is an AI agent designed for production environments to handle and resolve alerts effectively. It integrates with existing observability tools such as Sentry and Datadog, as well as user feedback channels, to triage alerts by grouping duplicates and conducting root cause analysis. This reduces noise and significantly cuts down on Mean Time To Repair (MTTR).

The setup involves connecting Sonarly with your current stack without requiring additional trackers or overhauling your setup. It processes alerts by deduplicating them before invoking coding agents to provide a detailed context-specific root cause analysis. For example, a company receiving approximately 180 alerts per day managed to reduce actionable alerts to just 5 by using Sonarly, focusing only on issues that impact user experience or infrastructure critically.

To achieve this, Sonarly uses Claude Code, which is triggered with precise context, including specific Sentry issues and related logs. Moreover, Sonarly has a dynamic system map to navigate complex multi-repo and multi-service architectures, aiding in faster comprehension and resolution of issues.

This tool is particularly useful for engineering teams dealing with high volumes of alerts and seeking to minimize user impact and optimize developer time. The aim is to automate the triage process, ensuring that engineers can focus on fixing genuine problems rather than sifting through false positives.