LogRocket

LogRocket is a session replay and monitoring platform designed specifically for debugging web applications by recording user sessions with console logs, network requests, Redux/Vuex state, and performance metrics alongside video-like replay. While similar to FullStory in offering session replay, LogRocket emphasizes developer needs - capturing technical details like JavaScript errors, API failures, slow network requests, and application state that help engineers reproduce and fix bugs reported by users. The platform bridges the gap between customer support and engineering.

Best For

LogRocket excels for engineering and product teams in SaaS applications and web apps (typically 10-500+ employees) that need to debug customer-reported issues, monitor application performance, and understand the technical context of user sessions. It's particularly valuable for complex single-page applications built with React, Vue, or Angular where reproducing bugs is difficult without detailed session context. Engineering teams frustrated by "works on my machine" bugs and support teams unable to provide reproduction steps find LogRocket invaluable.

The platform serves teams prioritizing technical debugging over pure UX analysis.

Common Questions

How does LogRocket help engineers debug issues?
When a customer reports a bug, LogRocket provides a replay showing exactly what the user did, plus console logs showing JavaScript errors, network tab showing API requests and responses (with privacy controls), Redux/Vuex state changes, and performance metrics. Engineers can see the exact error that occurred, what API call failed, and application state at that moment - eliminating "can't reproduce" situations.

What technical data does LogRocket capture?
LogRocket records DOM interactions for session replay, console logs (info, warn, error), network requests/responses (sanitized), Redux/Vuex state changes, custom logging, performance metrics (page load times, API latency), and JavaScript errors with stack traces. This creates a complete picture of technical session context beyond visual replay.

How does LogRocket compare to FullStory?
FullStory emphasizes qualitative user experience analysis for product and UX teams (why users struggle, where friction exists). LogRocket emphasizes technical debugging for engineering teams (what errors occurred, which API failed, why the app crashed). FullStory is better for UX research; LogRocket is better for bug reproduction and performance monitoring. Some teams use both.

Can LogRocket integrate with error tracking tools?
Yes, LogRocket integrates with Sentry, Bugsnag, Rollbar, and other error monitoring tools to attach session replay links to error reports. When an error occurs, engineers can click through from the error tracker to watch the LogRocket session showing what led to the error, dramatically speeding up debugging.

Pricing & Plans

Developer: Free - 1,000 sessions/month - Session replay, console logs, network monitoring, 1-month data retention, community support

Team: $99/month - 10,000 sessions/month - Redux/Vuex integration, error tracking integrations, 3-month retention, email support

Professional: $299/month - 50,000 sessions/month - Alerts and notifications, issue tracking, 1-year retention, priority support

Enterprise: Custom pricing - Custom sessions, advanced security, unlimited retention, dedicated support, custom integrations, SLA

Pricing scales with monthly sessions. Free tier suitable for development and staging; production apps typically require paid plans.

Getting Started

Sign up for free at logrocket.com supporting 1,000 sessions per month. Install LogRocket's JavaScript SDK in your web application (React, Vue, Angular, vanilla JS). Configure privacy settings to sanitize sensitive data in network requests. Deploy to production and integrate with your error tracking tool (Sentry, Bugsnag). When issues arise, watch session replays to diagnose root causes.

Limitations

• Free tier limited to 1,000 sessions/month (exhausted quickly in production)
• Session-based pricing increases significantly for high-traffic applications
• Primarily designed for web applications (limited native mobile support)
• Capturing technical data increases bandwidth and storage requirements
• Privacy controls require careful configuration for sensitive data
• Advanced integrations (Redux, performance monitoring) require Team tier minimum
• Learning curve for configuring appropriate data capture and sanitization
• Can add performance overhead to applications if not configured properly