Raygunv1.0.1

Automatically fetch new error groups from Raygun, classify them by severity, and route alerts to Slack or email for immediate developer action. This reduces manual monitoring and speeds up incident response.

After each deployment, compare crash rates and performance metrics from Raygun to a baseline. If a regression is detected, trigger a rollback or create a Jira ticket automatically.

Correlate user sessions with crash reports in Raygun to identify high-impact bugs affecting key accounts. Automatically notify the customer success team for mitigation.

Periodically pull error group summaries and performance data from Raygun to populate a custom dashboard for CTOs or engineering managers, providing a high-level view of application health.

For each new error instance, retrieve the associated deployment version from Raygun and cross-reference with the Git commit history. This speeds up root cause identification without manual digging.

Package this integration as a premium add-on for existing error monitoring subscribers, enabling them to automate workflows and connect Raygun data to their internal tools.

Offer professional services to set up custom Raygun-driven automation pipelines for clients, including alert routing, deployment tracking, and dashboard creation.

Build a managed service that monitors clients' Raygun data 24/7, automatically triages errors, and provides monthly reports on application stability trends.