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HyperDX

Open-source observability platform unifying session replays, logs, metrics, traces, and errors

★ 9,687 GitHub MIT observabilitymonitoringopentelemetryclickhouselogsmetricstracessession-replayapm Automation Tools

Overview

HyperDX is an open-source observability platform that unifies session replays, logs, metrics, traces, and errors in a single interface. Built on ClickHouse and OpenTelemetry, it provides blazing-fast search across all telemetry data types. Features include full-text and property-based search, live tailing of logs and traces, APM monitoring, dashboard creation, alerting, and native JSON querying. HyperDX ships as a single Docker container for easy self-hosting and is ideal for teams that want a modern, all-in-one observability stack without the complexity of traditional monitoring tools.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  hyperdx:
    image: hyperdx/hyperdx:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/hyperdx:/data

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Guides & articles

HyperDX Review: Unified Observability with Session Replays, Logs, and Traces

A hands-on review of HyperDX — the open-source alternative to Datadog that combines session replays, logs, traces, metrics, and errors in one platform.

Jul 20, 2026

How to Self-Host HyperDX: A Complete Guide to Open-Source Observability

Learn how to deploy and configure HyperDX, the open-source observability platform that unifies logs, metrics, traces, session replays, and errors on ClickHouse.

Jul 20, 2026