Open source observability platform unifying session replays, logs, traces, metrics and errors. Fast search, automatic clustering, $0.40/GB pricing.

Overview:

HyperDX is an open-source observability tool that helps engineers search and visualize logs, metrics, session replays, and traces on top of any existing ClickHouse cluster. It is a core component of the ClickStack deployment and functions similarly to Kibana but is specifically optimized for ClickHouse. The project addresses the challenges of expensive, hard-to-use observability tools that require switching between multiple platforms. It targets developers and engineers who need to quickly diagnose production issues by correlating telemetry data in one place.

Core Features:

  • Correlated search: Search and correlate logs, metrics, session replays, and traces within a single interface.

  • Full-text and property search: Use an intuitive search syntax (e.g., level:err) with optional SQL for more advanced queries.

  • Anomaly trend analysis: Analyze trends in anomalies using event deltas.

  • Alerting: Set up alerts with just a few clicks.

  • Live tail: View logs and traces in real time to always get the freshest events.

  • OpenTelemetry support: Compatible with OpenTelemetry for application instrumentation across languages like JavaScript, Python, Java, Go, and others.

Use Cases:

  • Engineers diagnosing production issues: Quickly searching and visualizing logs and traces to correlate clues and understand why production is broken.

  • Teams deploying with ClickHouse: Setting up HyperDX on top of any ClickHouse cluster (local or hosted ClickHouse Cloud) for observability.

  • Developers using OpenTelemetry: Instrumenting applications in various languages and pointing the OpenTelemetry SDK to the HyperDX collector for telemetry ingestion.

Why It Matters:

As an open-source observability tool, HyperDX is designed to be schema-agnostic and work directly on existing ClickHouse schemas, reducing setup costs. It aims to address the common pain points of high pricing and difficult setup associated with traditional observability platforms by offering a self-hosted solution that does not require full-time SREs. The project’s focus on a single, unified interface for logs, traces, metrics, and session replays helps reduce the need to hop between multiple tools.

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9,473

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394

Licence

MIT

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Alternative à
DataDog