Raygun
Detect and diagnose errors, group similar errors, and gain full-stack visibility.
What is Raygun?
Raygun is an error monitoring and diagnostics platform that helps development teams identify, track, and fix software bugs across their applications. It automatically detects errors in production environments, groups similar issues together to reduce noise, and provides visibility across your entire application stack—from front-end user interfaces to back-end servers and databases. This helps teams prioritise which errors to fix first based on user impact rather than raw frequency. Raygun is particularly useful for teams building web applications, mobile apps, or services that need to maintain reliability in production.
Key Features
Error detection
Automatic capture of exceptions and crashes across your application stack
Error grouping
Similar errors are clustered together to identify unique problems
Full-stack visibility
Track errors from client-side code through to server-side logic and databases
Root cause analysis
Detailed diagnostic information including stack traces, user sessions, and affected code
Real user monitoring
Track how errors affect actual users and their behaviour
Integration support
Connect with popular development platforms and alerting tools
Pros & Cons
Advantages
- Reduces alert fatigue by grouping duplicate errors, so your team focuses on actual problems
- Full visibility across your application layers helps identify whether issues are front-end, back-end, or infrastructure related
- Captures user session context alongside errors, making it easier to reproduce and understand problems
- Freemium option lets smaller teams or new projects start monitoring without upfront cost
Limitations
- Pricing for larger teams can become costly as volume scales, particularly if you have high error rates
- Learning curve for getting the most value from advanced diagnostic features and customising grouping rules
- Performance impact of error monitoring agents varies depending on your application and configuration
Use Cases
SaaS companies monitoring production reliability across web and mobile applications
E-commerce platforms tracking checkout errors and user-facing issues
Development teams working with microservices needing visibility across multiple services
Mobile app developers catching crashes and performance regressions before users report them
Teams with limited DevOps resources needing automated error tracking without manual log analysis