On-Call Health

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Tagline:Catch exhaustion before it burns out your engineers.

Updated:October 22, 2026

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What is On-Call Health?

On-Call Health integrates with Rootly, PagerDuty, GitHub, Slack, Linear, and Jira to collect incident, workload, and self-reported wellbeing data. It scores on-call overload risk and turns anecdotal feedback into evidence teams can act on. Free and open-source.

How to use On-Call Health?

Connect an incident source like Rootly or PagerDuty, add Linear, GitHub, and Slack for workload and sentiment signals, then review per-engineer risk scores and trend summaries in the dashboard.

On-Call Health Core Features

Connect signals

Start with Rootly or PagerDuty for incident data, add Linear for ticket workload, GitHub for after-hours signals, and Slack for communication patterns and context.

Collect sentiment

Periodically send short surveys in Slack so responders can share how they're doing. Fast, low-friction, and designed to reduce stigma rather than create it.

See who's at risk

On-Call Health computes individual risk scores from ingested data: 0-24 Maintain balance, 25-49 Monitor risk, 50-74 Early intervention, 75-100 Immediate action.

Act early with confidence

AI analyzes what changed and what's driving it, so you can make informed decisions to protect engineers before risk turns into burnout.

On-Call Health Use Cases

Rebalance on-call rotations before burnout sets in

Quantify on-call burden to justify operational improvements

Turn weekly incident reviews into conversations about team health

Spot trend shifts early and intervene while fixes are still small

On-Call Health Frequently Asked Questions

Is On-Call Health a medical or diagnostic tool?

No. On-Call Health is not a medical or diagnostic tool. It is designed to help identify patterns and trends that may suggest overwork, not to assess wellbeing directly.

Which tools does On-Call Health integrate with?

Rootly, PagerDuty, GitHub, Slack, Linear, and Jira. It pulls incident data, workload signals, and self-reported wellbeing from those connections.

How is the overload risk score calculated?

It computes an On-Call Health (OCH) Score from all ingested signals and tracks a Score Trend against each responder's own baseline, with bands from 0-24 Maintain balance to 75-100 Immediate action.

Is On-Call Health free to use?

Yes. It is free and open-source under the Apache 2.0 license, and you can either use the hosted version or self-host it with Docker Compose.

On-Call Health Product Background & Official Links

On-Call Health Support Email & Customer service contact & Refund contact etc.

On-Call Health Support Email: sylvain@rootly.com

More Contact, visit the about us page(https://api.oncallhealth.ai/docs)

On-Call Health Team Info

On-Call Health Team name: Rootly AI Labs

On-Call Health Developer Type: team

More about On-Call Health, Please visit the about us page(https://api.oncallhealth.ai/docs)

On-Call Health Pricing

On-Call Health Pricing Link: https://github.com/Rootly-AI-Labs/On-Call-Health

On-Call Health Twitter

On-Call Health Twitter Link: https://x.com/rootlyhq

On-Call Health LinkedIn

On-Call Health LinkedIn Link: https://www.linkedin.com/company/rootlyhq

On-Call Health GitHub

On-Call Health GitHub Link: https://github.com/Rootly-AI-Labs/On-Call-Health

On-Call Health Pricing & Plans

Free

Free and open-source under Apache 2.0
Self-host with Docker Compose
Hosted version free to use
Sign in with Google or GitHub OAuth

Subscribe & upgrade now

On-Call Health Tags

Open Source Free Self-Hosted For Developers Team Collaboration API Available Cloud-based Web App

Best Suited Occupations for On-Call Health

Software Developers IT Ops & Security Project & Program Managers HR Professionals & Recruiters