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Highlight

The open-source, fullstack monitoring platform for session replay, error tracking, logging, and traces.

Quick Info

Starting at $0 / month
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Overview

Highlight is an open-source, fullstack monitoring platform designed to provide comprehensive observability for web applications. It integrates several critical functions into a single interface: session replay, error monitoring, logging, and traces. This unified approach allows development teams to gain a holistic understanding of their application's health and user experience, moving beyond fragmented tools. The platform's core value proposition lies in its ability to connect user-facing issues with backend performance and errors. Developers can replay user sessions to see exactly what happened, correlate those sessions with specific errors, analyze logs for deeper context, and trace requests across their stack to pinpoint performance bottlenecks. With options for cloud-hosted or self-hosted deployment, Highlight offers flexibility for various operational needs, all built on an open-source foundation that promotes transparency and community-driven development.

Pricing

Free

$0 / month

  • 500 monthly sessions
  • AI error grouping
  • Up to 15 seats
POPULAR

Pay-as-you-go

$50 / month

  • Up to 3 dashboards
  • Up to 2 projects
  • Up to 15 seats
  • Up to 7 day retention

Pros & Cons

Pros

  • Open-source nature allows for transparency and community contributions.
  • Consolidates multiple observability tools (session replay, errors, logs, traces) into one platform.
  • Offers self-hosting capability for greater control over data and infrastructure.
  • Strong privacy controls for sensitive session replay data.
  • Leverages OpenTelemetry for standardized instrumentation.
  • Provides detailed insights into user behavior and application performance.

Cons

  • Being open-source, self-hosting requires more setup and maintenance effort.
  • May have a steeper learning curve for users new to fullstack observability platforms.
  • Integration with less common frameworks or languages might be less mature compared to established proprietary tools.
  • Performance impact on monitored applications could be a concern, though not explicitly stated.
  • The breadth of features might be overwhelming for very small projects only needing basic monitoring.

Use Cases

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Best For

  • Debugging complex frontend and backend issues by replaying user sessions.
  • Proactively identifying and resolving application errors before they impact users.
  • Monitoring application performance and identifying bottlenecks through traces.
  • Centralizing logs from various services for easier debugging and analysis.
  • Understanding user behavior and pain points within web applications.
  • Teams requiring a unified observability stack with an open-source foundation.

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