/openobserve

🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).

Primary LanguageRustGNU Affero General Public License v3.0AGPL-3.0

OpenObserve

🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces).

Last Commit GitHub Stars GitHub Issues Contributors GitHub Release

OpenObserve (O2 for short) is a cloud-native observability platform built specifically for logs, metrics, traces, analytics, RUM (Real User Monitoring - Performance, Errors, Session Replay) designed to work at petabyte scale.

It is straightforward and easy to operate, in contrast to Elasticsearch, which requires understanding and tuning numerous settings. Get OpenObserve up and running in under 2 minutes.

OpenObserve serves as a seamless replacement for Elasticsearch for users who ingest data using APIs and perform searches. OpenObserve comes with its own user interface, eliminating the need for separate installation.

You can reduce your log storage costs by ~140x compared to Elasticsearch by using OpenObserve. Below, we present the results from pushing logs from our production Kubernetes cluster to both Elasticsearch and OpenObserve using Fluent Bit.

OpenObserve Vs Elasticsearch

🎥 Introduction Video

OpenObserve_Introduction.mp4

🌟 Features:

  • Logs, Metrics, Traces: Comprehensive support for various data types.
  • OpenTelemetry Support: Full compatibility with OTLP for logs, metrics, and traces.
  • Real User Monitoring (RUM): Includes performance tracking, error logging, and session replay.
  • Alerts & Dashboards: Features over 14 different chart types for comprehensive data visualization.
  • Advanced Ingest and Query Functions: Aid in enrichment, redaction, log reduction, and compliance, like redacting sensitive data from logs.
  • Advanced Embedded GUI: Intuitive and user-friendly interface.
  • SQL and PromQL Support: Query logs and traces with SQL, and metrics with SQL and PromQL.
  • Single Binary Installation: Easy installation and running, with binaries available for multiple platforms under releases.
  • Versatile Storage Options: Supports local disk, S3, MinIO, GCS, Azure Blob Storage.
  • High Availability and Clustering: Ensures reliable and scalable performance.
  • Dynamic Schema: Adapts to your data structure seamlessly.
  • Built-in Authentication: Secure and ready to use.
  • Ease of Operation: Designed for simplicity and efficiency.
  • Seamless Upgrades: Hassle-free updates.
  • Multilingual UI: Supports 11 languages, including English, Spanish, German, French, Chinese, and more.

For a full list of features, check the documentation.

⚡️ Quick start

🐳 Docker:

docker run -d \
      --name openobserve \
      -v $PWD/data:/data \
      -p 5080:5080 \
      -e ZO_ROOT_USER_EMAIL="root@example.com" \
      -e ZO_ROOT_USER_PASSWORD="Complexpass#123" \
      public.ecr.aws/zinclabs/openobserve:latest

🐙 Docker Compose:

services:
  openobserve:
    image: public.ecr.aws/zinclabs/openobserve:latest
    restart: unless-stopped
    environment:
      ZO_ROOT_USER_EMAIL: "root@example.com"
      ZO_ROOT_USER_PASSWORD: "Complexpass#123"
    ports:
      - "5080:5080"
    volumes:
      - data:/data
volumes:
  data:

For other ways to quickly install OpenObserve or use OpenObserve cloud, check quickstart documentation.

For installing OpenObserve in HA mode, check HA deployment documentation.

📷 Screenshots

Home

Home

Logs

Logs

Traces (OpenTelemetry)

Trace details page Traces using OpenTelemetry

Golden metrics based on traces Traces golden metrics

Visualizations and Dashboards

Dashboard Dashboard Create panel Map

Front end monitoring

Performance analytics Performance

Session replay Session replay

Error tracking Error tracking

Alerts

Alerts

Streams

Streams

Ingestion

Ingestion

Ingestion

⚖️ License

OpenObserve is licensed under the AGPL-3.0 license. For more details, see the LICENSE.

🌍 Community

🔗 Join our Slack Channel

Slack

Easiest way to get support is to join the Slack channel.

📱 Join our WeChat Group