Tools / Bugsnag

Track crashes, performance bottlenecks, and user interactions across your entire stack with stability scores and distributed tracing.
This tool provides mobile and web application monitoring designed to help development teams identify and resolve bugs in production. It offers full-stack visibility, allowing users to track crashes, monitor performance bottlenecks, and trace requests across various services. The platform uses a stability score to give an immediate snapshot of an app’s health, indicating whether the team should focus on fixing issues or building new features.
Monitoring capabilities extend beyond simple error tracking. The tool includes performance monitoring to track metrics like rendering performance, memory consumption, and CPU usage. It also features distributed tracing, which reveals performance issues by displaying waterfall graphs of every API call, database query, and microservice interaction. This allows for one-click correlation between crashes and traces, helping pinpoint the root cause of failures quickly. The platform supports OpenTelemetry (OTel) compatibility, ensuring users maintain ownership of their data.
Bugsnag supports a wide range of technologies, including Android, iOS, JavaScript, Python, Kotlin, Ruby, Java, and Node.js. It integrates with development workflows via tools like GitHub, Jira, Slack, and GitLab. The platform is designed to catch crashes and slowdowns during critical customer moments, prioritizing issues based on severity and user impact to help maintain customer satisfaction.
Best for
Stability scores provide an immediate snapshot of an application’s health, indicating whether the team should prioritize debugging or developing new features.
Yes, the platform is OpenTelemetry (OTel) compatible, which allows users to maintain ownership of their data while using the service.
Distributed tracing tracks app starts, screen loads, and network requests, displaying every API call and database query in waterfall graphs to reveal performance issues.
It uses predictable pricing based on insights, utilizing dynamic sampling and burst protection to prevent unexpected overages during peak traffic.
It supports a wide range of platforms including Android, iOS, JavaScript, Python, Kotlin, Ruby, Java, and Node.js.
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