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HyperDX

Open source platform combining session replays, logs, traces, metrics, and errors for comprehensive production issue resolution

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HyperDX is an innovative open-source observability platform designed to help engineering teams resolve production issues quickly and efficiently. Here's what makes HyperDX stand out:

  1. Comprehensive Observability: HyperDX unifies session replays, logs, traces, metrics, and errors in one platform, providing a holistic view of your system's performance.

  2. Cost-Effective Solution: With pricing at $0.40 per GB, $0 per user, and $0 per host, HyperDX offers a budget-friendly alternative to expensive enterprise solutions like Datadog.

  3. Powerful Performance: Powered by Clickhouse, HyperDX enables searching through terabytes of events in seconds, ensuring rapid issue identification and resolution.

  4. Intuitive Search: The platform features a simple full-text search syntax, making it easy to find relevant logs and spans without learning complex query languages.

  5. Automatic Event Clustering: HyperDX automatically aggregates log patterns, condensing billions of events into distinct clusters for easier analysis.

  6. Correlated Session Replays: Automatically link frontend session replays with backend logs and traces, providing context for user-reported issues.

  7. Visualization Tools: An intuitive chart builder allows teams to graph and share logs, metrics, and traces, facilitating detailed analysis and collaboration.

  8. Easy Integration: HyperDX offers automatic instrumentation for various languages and platforms, with just a few lines of code required for setup.

  9. Vendor-Agnostic: Built on OpenTelemetry, HyperDX allows teams to instrument once without fear of vendor lock-in.

  10. Additional Features: The platform includes alerting capabilities, Intercom integration, live log tailing, native JSON parsing, and an agent-free installation option.

HyperDX is backed by Y Combinator and trusted by high-velocity engineering teams. It's an excellent choice for organizations looking to streamline their observability stack while keeping costs under control.

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