BugSnag favicon

BugSnag
Monitor, prioritize, and resolve application errors with AI-driven precision.

What is BugSnag?

BugSnag enables development teams to achieve greater application stability by detecting errors, tracking performance issues, and tracing incidents across the entire stack. Utilizing AI-powered fix suggestions and prioritization features, it ensures that high-impact bugs are immediately addressed while offering deep insights into user experience and system health.

With support for over 50 platforms and extensive integration capabilities, BugSnag delivers actionable diagnostics, interactive dashboards, and advanced segmentation to accelerate debugging and ensure reliable releases. It offers a comprehensive solution for error monitoring, performance tracking, distributed tracing, and application stability management with flexible deployment options and compliance support.

Features

  • Full-Stack Error Monitoring: Monitors crashes and exceptions across multiple platforms with depth diagnostics.
  • Performance Monitoring: Analyzes rendering, memory, CPU, and user interactions in real-time.
  • Distributed Tracing: Traces requests, API calls, and microservice interactions to locate bottlenecks.
  • AI-Powered Fix Suggestions: Delivers AI-driven recommendations to resolve errors efficiently.
  • Automatic Error Prioritization: Sorts and highlights bugs based on severity and user impact.
  • Stability Scores: Provides app health insights to inform debugging and release decisions.
  • Custom Alerts & Dashboards: Allows configuration of alerts and dashboards for critical metrics.
  • Integrations: Connects with 50+ platforms, issue trackers, and code repositories.
  • Sensitive Data Management: Identifies and redacts personal data with compliance support.
  • Team Workflows: Enables collaboration, code ownership, and seamless communication.

Use Cases

  • Monitoring mobile app errors and performance in production.
  • Instantly detecting and prioritizing critical bugs in web applications.
  • Tracing distributed system incidents across microservices architecture.
  • Providing actionable diagnostics and fix suggestions to development teams.
  • Tracking application stability for release and rollback decisions.
  • Alerting DevOps teams about performance bottlenecks and error spikes.
  • Ensuring compliance by managing sensitive data in crash reports.
  • Collaborating across teams on resolving errors and tracking code ownership.

FAQs

  • What is a span in BugSnag?
    A span refers to a discrete unit of work within your application, such as an app start, screen load, or API call, which is used to analyze performance metrics.
  • How does span sampling work in BugSnag?
    Span sampling allows you to capture a statistically meaningful subset of spans for performance monitoring, enabling efficient analysis without needing to store all spans.
  • What is the difference between handled and unhandled exceptions?
    Unhandled exceptions are errors or crashes that occur without being caught in your code, while handled exceptions are errors you have coded your application to detect and manage.
  • What happens if I exceed my event quota?
    If you exceed your event quota, burst protection may apply to shield you from unanticipated surges, but you may need to upgrade your plan or reduce data to retain full monitoring coverage.
  • Is BugSnag free for open source applications?
    BugSnag offers a free plan that can be suitable for open source projects, with features tailored for solo users and passion projects.

Helpful for people in the following professions

Related Tools:

Blogs:

  • Best text to speech AI tools

    Best text to speech AI tools

    Text-to-speech (TTS) AI tools are designed to convert written or text-based content into natural-sounding spoken audio. These tools utilize various deep learning and neural network architectures to generate human-like speech from textual input.

  • AI Testimonial Videos: How to Build Social Proof That Actually Converts

    AI Testimonial Videos: How to Build Social Proof That Actually Converts

    AI testimonial videos are transforming marketing in 2026 by helping businesses create professional customer-style videos quickly and affordably. Using real customer reviews, short scripts, and AI tools like Pollo AI, brands can produce engaging testimonials for social media, landing pages, and ads while saving time and improving conversions.

  • Best ai tools for Twitter Growth

    Best ai tools for Twitter Growth

    The best AI tools for Twitter's growth are designed to enhance user engagement, increase followers, and optimize content strategy on the platform. These tools utilize artificial intelligence algorithms to analyze Twitter trends, identify relevant hashtags, suggest optimal posting times, and even curate personalized content.

Didn't find tool you were looking for?

Be as detailed as possible for better results