A free and open-source tool that helps teams detect early signs of overload in on-call incident response
Rootly AI announced the general availability of On-Call Health, a free and open-source tool designed to help engineering teams detect signs of overload in on-call incident response. By surfacing trends from operational data and lightweight team check-ins, On-Call Health helps organizations understand how on-call load evolves over time, enabling them to keep incident response sustainable.
“On-call issues rarely show up all at once,” said JJ Tang, CEO of Rootly. “They build gradually. Without visibility, teams normalize unsustainable patterns. Our AI Labs built On-Call Health to make those patterns visible earlier, so teams can respond before things escalate.”
On-call incident response is a critical part of running modern software systems, but it often comes with hidden costs. Pages at night, weekend incidents, and sustained operational pressure can quietly accumulate. These patterns are easy to normalize and hard to spot in the moment. By the time the impact is obvious, teams are often already stretched thin.
“Understanding on-call load used to mean asking engineers to pull data and explain what was going on,” said Casey Brown, Head of Infrastructure Engineering at Weights & Biases. “This is the on-call visibility I wish I’d had on day one.”
On-Call Health connects to systems teams already rely on, including Rootly, PagerDuty, Slack, GitHub, Linear, and Jira, to analyze incident activity, after-hours work, and task load. It does not provide medical advice or diagnose individuals; its signals are purely indicative and designed to surface patterns that are difficult to notice in day-to-day operations. By focusing on trends and baselines, the tool reflects that what is normal varies across organizations and individuals.
“As an SRE, I’ve been on teams where something felt off, but we didn’t have a clear way to see it,” said Sylvain Kalache, Head of Rootly AI Labs and former Site Reliability Engineer at LinkedIn. “On-Call Health makes those patterns visible before they turn into real problems.”
On-Call Health is fully open-source and free. Teams can self-host it on or use Rootly’s hosted version at no cost. The project is actively welcoming feedback and contributions from engineers, SREs, and platform teams.
