Raygun Overview
Raygun is a comprehensive application monitoring and error resolution platform designed for modern software development teams. It provides deep, actionable insights into the health and performance of web and mobile applications, enabling developers to build and maintain high-quality, reliable software. By capturing and analyzing every error, crash, and performance bottleneck, Raygun helps teams move from reactive firefighting to proactive problem-solving. The platform's suite of tools includes Crash Reporting, Real User Monitoring (RUM), and Application Performance Monitoring (APM), all enhanced with a new AI Error Resolution feature that leverages LLMs to provide fast and accurate solutions.
How to use Raygun
Getting started with Raygun is designed to be simple and fast. First, you sign up for a free 14-day trial. Then, you integrate Raygun into your application by installing one of its lightweight SDKs or agents, which are available for all major programming languages and frameworks. Once installed, the SDK automatically begins collecting data on errors, crashes, and performance metrics. This data is sent to your Raygun dashboard, where you can view detailed reports, stack traces, environment details, and affected user information. You can configure alerts to be notified of critical issues via Slack, Jira, GitHub, and other integrated tools, allowing your team to respond and resolve problems swiftly.
Core Features of Raygun
- AI Error Resolution: Automatically prompts a chosen LLM with crucial error context from the stack trace, environment, and affected code to generate fast and accurate solutions.
- Crash Reporting: Provides detailed diagnostics for every crash and error, including the full stack trace, user information, and version tracking, helping to reduce errors by up to 90%.
- Real User Monitoring (RUM): Measures and improves front-end performance by tracking Core Web Vitals, page load times, and user sessions. It links performance data to user experience, helping to increase conversion rates.
- Application Performance Monitoring (APM): Offers code-level visibility into back-end performance, capturing the complete lifecycle of web requests to identify and fix bottlenecks within minutes.
- Deployment Tracking: Correlates deployments with new errors or performance regressions, allowing you to see the impact of each release instantly.
- Extensive Integrations: Natively integrates with dozens of popular tools like GitHub, Jira, Slack, Azure DevOps, Trello, and PagerDuty to streamline your workflow.
- User-Centric Monitoring: Tracks which specific users are affected by errors and performance issues, enabling proactive customer support.
Use Cases for Raygun
Raygun is valuable for various roles within a tech organization. For Tech Leads, it helps ensure 100% reliable checkout experiences by minimizing errors and reducing MTTR. For Customer Experience (CX) Experts, it provides the granular performance data needed to optimize Core Web Vitals and accelerate conversions. For Performance Engineers and SREs, it simplifies the complexity of back-end systems, allowing them to master performance management with detailed trace analysis and diagnostics. From startups to Fortune 500 companies, development teams use Raygun to deliver lightning-fast and error-free experiences to millions of customers.
Advantages of Raygun
The primary advantage of Raygun is its ability to provide a complete picture of software quality in one platform. It helps teams find and fix issues before customers are impacted, significantly improving user satisfaction and retention. The platform is built for scale, processing billions of data points daily. It prioritizes security and compliance, being HIPAA, GDPR, CCPA, and PCI compliant. With its simple setup, flexible pricing, and world-class support, Raygun empowers developers to be more productive, deploy with confidence, and focus on building great products rather than just fixing them.
Pricing and Plans
Raygun offers flexible, on-demand pricing that scales with your usage. They provide a full-featured 14-day free trial with no credit card required, allowing teams to experience the platform's full capabilities. Pricing is typically based on the volume of data points or events processed across their products (Crash Reporting, RUM, APM). Specific plans and pricing details are available on the official Raygun website, tailored to fit the needs of companies of all sizes, from small startups to large enterprises.
Traffic
Latest traffic
Status
Monthly traffic trend
- 2025-9: 97.3K
- 2026-1: 106.5K
- 2026-2: 106.0K
- 2026-3: 96.3K
- 2026-4: 101.1K
- 2026-5: 89.1K
Geography
Top 5 countries / regions
- 🇺🇸United States32.5%
- 🇬🇧United Kingdom21.0%
- 🇳🇿New Zealand20.1%
- 🇮🇳India16.1%
- 🇧🇷Brazil10.3%
Traffic sources
| Source type | Percentage |
|---|---|
Direct | 85.6% |
Referral | 11.9% |
Email | 2.5% |
Top keywords
| Keyword | Cost per click |
|---|---|
| java vs python code | $0.00 |
| ray gun | $1.53 |
| raygun | $1.49 |
| verificar script externo en una pagina web | $0.00 |
| what type of subscrition do you need for raygun apm | $0.00 |
Raygun Alternatives
HoneyHive
HoneyHive is an all-in-one AI observability and evaluation platform for developers building with LLMs and AI agents. It provides a unified solution to build, test, debug, and monitor AI applications, from initial experiments to enterprise-scale deployment. The platform helps teams systematically measure AI quality, gain deep visibility into agent interactions, monitor performance metrics like cost and latency, and collaborate on essential assets like prompts and datasets, ensuring the confident shipment of reliable AI products.
Debugging
Atla AI
Atla AI is an observability and evaluation platform designed for AI agents. It helps developers find, understand, and fix agent failures by providing deep insights into their behavior. The platform automatically detects errors, identifies recurring patterns, and offers actionable suggestions to continuously improve agent performance and completion rates.
Model Evaluation
LangWatch
LangWatch is an all-in-one, open-source platform for monitoring, evaluating, and optimizing LLM applications. It specializes in AI agent testing through simulated user environments, helping teams catch regressions and edge cases before production. The platform combines observability, evaluation, optimization, and guardrails to ensure AI applications are reliable, secure, and performant.
Debugging
Fullstory
Fullstory is a leading Digital Experience Intelligence (DXI) platform that helps businesses understand and improve their user experience on web and mobile. It captures every click, scroll, and interaction, providing session replays, heatmaps, and AI-powered analytics to identify user friction, uncover bugs, and optimize conversion funnels.
User Behavior Analytics
Middleware
Middleware is an AI-powered, full-stack cloud observability platform designed to modernize IT infrastructure. It unifies logs, metrics, traces, and RUM data into a single view, enabling teams to monitor their entire tech stack in real-time. With its core OpsAI feature, Middleware automatically detects, diagnoses, and even resolves up to 70% of issues, significantly reducing resolution time and improving developer productivity. It offers a cost-effective, scalable solution for businesses of all sizes.
ObservabilityRaygun Categories
Raygun Embed Widget
Copy this embed code to place the badge on your blog, article, or product site and send readers directly to this ToolMage detail page.
Related AI tools
Sublyzer
Sublyzer is an AI-powered analytics platform designed for SaaS founders and developers to monitor revenue, track churn, analyze performance, and resolve errors efficiently. It offers a unified dashboard with smart error tracking, AI explanations, and solution suggestions through a conversational interface.
Saas AnalyticsMiddleware
Middleware is an AI-powered, full-stack cloud observability platform designed to modernize IT infrastructure. It unifies logs, metrics, traces, and RUM data into a single view, enabling teams to monitor their entire tech stack in real-time. With its core OpsAI feature, Middleware automatically detects, diagnoses, and even resolves up to 70% of issues, significantly reducing resolution time and improving developer productivity. It offers a cost-effective, scalable solution for businesses of all sizes.
Observability
Zipy
Zipy is an AI-powered platform combining session replay, error tracking, and user analytics. It helps software teams proactively identify, debug, and resolve user-facing issues, providing complete context with developer tools to enhance digital experiences and accelerate problem-solving.
User Behavior
Instabug
Instabug is an AI-powered mobile observability platform designed for developers and product teams. It provides comprehensive tools for bug and crash reporting, app performance monitoring (APM), session replay, and user feedback, helping teams build stable, high-performance mobile applications and resolve issues faster.
User Behavior
Metoro
Metoro is an AI-powered observability platform designed for Kubernetes. It uses eBPF technology for zero-instrumentation monitoring, enabling autonomous issue detection, root cause analysis, and automated code fixes via pull requests. Operational in under a minute, it offers a comprehensive and cost-effective alternative to traditional monitoring tools.
Observability
BetterLogger
BetterLogger is a powerful, modern macOS log viewer designed for iOS developers. It streams real-time logs from iOS Simulators, organizes them into visual lanes, and integrates with AI-powered tools like Cursor via MCP for enhanced debugging.
Macos Utilities
hawkflow.ai
HawkFlow.ai is a unified monitoring platform for developers and technology leaders. It allows you to track application performance, infrastructure, data, KPIs, and ML models in one centralized place. With simple code integration, it helps teams proactively identify issues, monitor costs, and gain a comprehensive overview of their entire tech stack.
MonitoringHoneyHive
HoneyHive is an all-in-one AI observability and evaluation platform for developers building with LLMs and AI agents. It provides a unified solution to build, test, debug, and monitor AI applications, from initial experiments to enterprise-scale deployment. The platform helps teams systematically measure AI quality, gain deep visibility into agent interactions, monitor performance metrics like cost and latency, and collaborate on essential assets like prompts and datasets, ensuring the confident shipment of reliable AI products.
DebuggingAtla AI
Atla AI is an observability and evaluation platform designed for AI agents. It helps developers find, understand, and fix agent failures by providing deep insights into their behavior. The platform automatically detects errors, identifies recurring patterns, and offers actionable suggestions to continuously improve agent performance and completion rates.
Model Evaluation
PostHog
PostHog is an all-in-one, open-source product analytics platform for developers. It combines product analytics, session replay, feature flags, and A/B testing into a single tool, eliminating the need for a fragmented data stack. It's designed to help teams understand user behavior and build better products faster.
Customer Data Platform
Jyek
Jyek is an AI agent platform that understands objectives, creates execution plans, uses tools, and delivers verifiable results for complex, multi-step tasks.
Automation
Zencoder
Zencoder is an advanced AI coding agent designed to automate routine development tasks. It deeply integrates into your workflow, understanding your entire codebase to implement features, write tests, fix bugs, and refactor code autonomously. With customizable 'Zen Agents' and seamless integration with VS Code, JetBrains, and over 100 developer tools, Zencoder empowers engineering teams to focus on innovation and ship products faster.
Code Assistant
Kodezi
Kodezi is an AI-powered developer platform that acts as an AI CTO for your codebase. It autonomously fixes bugs, refines code, detects vulnerabilities, and automates documentation, integrating seamlessly into your development workflow to enhance productivity and code quality.
Code Assistant
Langtrace
Langtrace is an open-source observability and evaluation platform for AI agents and LLM applications. It helps developers monitor, debug, and improve performance, transforming AI prototypes into enterprise-grade products with features like tracing, prompt management, and robust security.
Debugging
Goast.ai
Goast.ai is an AI-powered assistant designed for engineering teams to automate bug fixing. It analyzes error logs, identifies the root cause, and automatically generates pull requests with code fixes, significantly speeding up the resolution process. NOTE: The Goast.ai team has been acquired by and joined Datadog.
Code Review
Raygun Comments (0)
Sign in to comment.
Sign inNo comments yet.