LogRocket

Freemium

logrocket.com

A highly revolutionary frontend observability platform that literally records a pixel-perfect video of exactly what the user saw when the application crashed.

About LogRocket

LogRocket is a highly aggressive disruptor in the frontend observability space, completely revolutionizing how engineers debug complex web applications (like React and Angular). Traditional error tracking (like Sentry) gives an engineer a text-based 'Stack Trace'. The engineer still has to mentally guess what the user was clicking on. LogRocket eliminates the guessing entirely.

LogRocket literally records a pixel-perfect video session of the user's browser. When a user reports, 'The checkout button didn't work', the engineer opens LogRocket and physically watches a video replay of the user moving their mouse, typing in the field, and clicking the button.

Crucially, it is not just a dumb screen recording. LogRocket simultaneously records the entire complex 'state' of the application (Network requests, Redux store, Console logs) perfectly synced alongside the video. The engineer can watch the video, see the button click, and instantly look at the synchronized 'Network' tab to mathematically prove that the backend API returned a 500 Error at that exact millisecond.

Key Features

Core capabilities and technical highlights of LogRocket

Revolutionary 'Session Replay' architecture that captures a pixel-perfect video recording of the exact user experience directly within the browser.

Deeply synchronized technical telemetry, flawlessly linking the video replay with the exact Network requests, Console logs, and complex Redux state changes.

Advanced 'Galileo' machine learning engine capable of autonomously identifying and surfacing high-impact friction points (like 'Rage Clicks' or 'Dead Clicks').

Highly robust privacy and compliance controls explicitly engineered to mathematically obscure highly sensitive user data (like passwords and credit cards) from the video recordings.

Popular Use Cases

How teams, developers, and creators get value from LogRocket

1Physically watch a pixel-perfect video replay of a highly frustrated user repeatedly clicking a broken 'Submit' button on a massive e-commerce checkout page.

2Utilize the synchronized telemetry dashboard to mathematically prove that a visual UI glitch was caused by a malformed JSON payload returned from the backend API.

3Rely on the highly aggressive AI 'Galileo' engine to autonomously scan thousands of video sessions and mathematically identify the highest-impact UX issues causing users to rage-quit.

4Bridge the massive gap between Customer Support and Engineering by allowing support agents to instantly attach a video replay of the bug directly to the Jira ticket.

Frequently Asked Questions

Common questions and answers regarding LogRocket

Is LogRocket free?

Yes, they offer an incredibly generous free tier (up to 1,000 sessions per month), making it massively popular for independent developers. Massive enterprise traffic requires a paid subscription.

Does the video recording violate user privacy?

This is their biggest focus. LogRocket does not record the actual screen (which would capture other tabs). It records the DOM mutations (HTML/CSS changes). Furthermore, it has strict, aggressive masking policies that autonomously block sensitive fields (passwords, PII) before the data ever leaves the user's browser.

How does it compare to Sentry?

Sentry is for backend/frontend text-based error tracking. LogRocket is strictly for frontend visual debugging. They actually integrate flawlessly together; Sentry catches the error, and provides a link to watch the LogRocket video of it happening.

Does it slow down the website?

LogRocket is highly engineered to run entirely on a background thread (Web Workers). It introduces negligible performance overhead, ensuring the main application remains lightning-fast.

Can Product Managers use it?

Absolutely. While engineered for developers, Product Managers heavily use LogRocket to watch users navigate the app to understand where the UX is confusing or poorly designed.