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The mission-critical Digital Experience Intelligence platform combining session replay, error tracking, and AI-driven analytics.

LogRocket is a sophisticated Digital Experience Intelligence (DXI) platform that provides developers and product teams with high-fidelity visibility into user behavior and application performance. By 2026, its architecture has matured significantly through 'Galileo,' its proprietary AI engine that autonomously identifies, categorizes, and prioritizes frontend issues based on business impact. Unlike traditional video-based session recording, LogRocket captures DOM mutations and network traffic, allowing for a pixel-perfect reconstruction of the user's experience without the heavy performance overhead associated with screen recording. This technical approach enables deep inspection of the Redux state, console logs, and network headers, making it indispensable for debugging complex single-page applications (SPAs). The platform's 2026 market position is defined by its ability to bridge the gap between engineering telemetry and business outcomes, providing a unified dashboard where performance metrics like Core Web Vitals are correlated directly with conversion rates and user churn. It is a cornerstone for modern DevOps and Product-Led Growth (PLG) stacks, offering seamless integration into existing CI/CD pipelines and customer support workflows.
LogRocket is a sophisticated Digital Experience Intelligence (DXI) platform that provides developers and product teams with high-fidelity visibility into user behavior and application performance.
Explore all tools that specialize in analyze user behavior. This domain focus ensures LogRocket delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze product usage. This domain focus ensures LogRocket delivers optimized results for this specific requirement.
Explore all tools that specialize in session replay. This domain focus ensures LogRocket delivers optimized results for this specific requirement.
Machine learning engine that automatically prioritizes issues based on user behavior patterns and severity.
Captures the exact state of the DOM as it changes, rather than recording high-bandwidth video.
Synchronizes the Redux state transitions with the session replay video.
Aggregated interaction maps including click, scroll, and attention heatmaps across all users.
Deep visibility into XHR/Fetch requests, including timing, headers, and response payloads.
Native SDKs for iOS and Android that capture native UI events and crashes.
Client-side and server-side rules to redact sensitive user data before it leaves the browser.
Create a LogRocket account and obtain your unique Application ID.
Install the LogRocket SDK via npm (npm install --save logrocket) or yarn.
Initialize the SDK in your application's entry point using LogRocket.init('<APP_ID>').
Configure user identification using LogRocket.identify() to link sessions to specific users.
Set up PII (Personally Identifiable Information) masking to ensure data privacy and compliance.
Integrate with Redux or Vuex to capture state changes during sessions.
Enable network request logging to capture request/response headers and bodies.
Define custom events and properties to track specific user interactions and business logic.
Configure alerting rules based on error frequency or performance regressions.
Verify the installation by performing a test session and checking the LogRocket dashboard.
All Set
Ready to go
Verified feedback from other users.
"Users praise the deep technical visibility and the ability to reproduce bugs that are otherwise invisible. Some users find the pricing for high-volume sessions to be steep."
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