On-Call Health
FreeAbout On-Call Health
On-Call Health is a free, open-source tool designed to monitor and manage the mental health and workload of on-call engineers. Developed by Rootly, it pulls data from various platforms like Rootly, PagerDuty, GitHub, Linear, and Jira to detect signs of unsustainable workloads and burnout. The tool combines objective technical signals with subjective sentiment surveys collected via Slack to calculate individual risk scores. This allows engineering managers to intervene early by rebalancing rotations or pausing non-urgent work before engineers reach a point of exhaustion.
How to Use
To use On-Call Health, connect it to your incident data sources like PagerDuty or Rootly, and integrate tools like Linear and GitHub for workload signals. Set up the Slack integration to collect periodic sentiment surveys. The platform will then calculate individual risk scores (0-100) and provide AI-generated summaries to help you identify which team members need intervention.
On-Call Health's
Key Features
- Multi-tool signal integration (PagerDuty, GitHub, Jira, etc.)
- Automated sentiment collection via Slack surveys
- Individualized risk scoring system (0-100)
- AI-powered trend analysis and summaries
- Team and individual health baselines
- Open-source (Apache 2.0 license)
Use Cases
- Detecting engineer burnout before it leads to turnover
- Justifying the need for additional headcount or automation based on objective workload data
- Improving on-call rotation fairness using measurable health trends
Key Features
Pros & Cons
- Completely free and open-source, reducing costs for teams
- Seamless integrations with popular DevOps tools
- Holistic analysis using both objective data and subjective surveys
- Proactive risk scoring enables timely interventions
- Customizable via GitHub for specific team needs
- Promotes long-term team well-being and retention
- Requires initial setup and configuration of multiple integrations
- Dependent on data quality from connected platforms
- Potential privacy concerns with handling sentiment and health data
- Primarily focused on on-call engineers, less applicable to other roles
- May demand technical expertise for deployment and maintenance