Struct

Struct is an AI agent designed to handle the tedious work of on-call engineering. When an alert fires from a system like Sentry or Datadog, Struct jumps into action. It automatically investigates the issue, groups related alerts together to reduce noise, and works to identify the root cause. It delivers this analysis, often within minutes, directly to your team's communication channels like Slack. The goal is to have the initial investigative work done before an engineer even opens their laptop, turning hours of manual triage into a fully automated process.

Struct works by connecting to your existing observability stack, cloud logs, and work tools such as GitHub, Linear, and Asana. It pulls context from across these systems to understand the full picture of an incident. What sets it apart is its ability to learn from past investigations, building what it calls 'on-call intelligence' that makes future analyses more accurate. For engineers who want to go beyond the automated report, Struct provides tools to dive deeper, exploring incident timelines and testing alternative hypotheses side-by-side with the AI.

This tool is built for fast-moving software teams burdened by alert fatigue. Engineering leaders and CTOs use Struct to give senior engineers time back for more complex work, while ensuring all alerts are investigated consistently. It's particularly useful for teams experiencing rapid growth, where shipping velocity increases and manual triage becomes a bottleneck. By automating the initial runbook, Struct helps teams maintain system reliability without sacrificing developer productivity.