The Principal Dev – Masterclass for Tech Leads

The Principal Dev – Masterclass for Tech LeadsNov 27-28

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OpenObserve

Modern observability platform: 10x easier, 140x lower storage cost, high performance, petabyte scale - Elasticsearch/Splunk/Datadog alternative for logs, metrics, traces, frontend monitoring and more.

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OpenObserve (O2 for short) is a cloud-native observability platform built specifically for logs, metrics, traces, analytics, frontend monitoring and more. Start with a single binary that scales to terabytes, or deploy in High Availability mode for petabyte-scale workloads.

Why OpenObserve?

1. Simplicity

It is straightforward and easy to operate compared to other observability tools that require understanding and tuning numerous settings. Get OpenObserve up and running on a single node in under 2 minutes. No PhD required.

2. Cost Efficiency

You can reduce your log storage costs by ~140x compared to Elasticsearch. Yes, you read that right - 140x, not a typo. This is achieved through columnar storage format (Parquet), aggressive compression, and S3-native architecture. See the detailed comparison below where we ingested the same amount of data in OpenObserve and Elasticsearch and found OpenObserve storage cost to be ~140x lower. Your CFO will love you.

OpenObserve Vs Elasticsearch

3. Performance

OpenObserve delivers better performance than Elasticsearch while using 1/4th the hardware resources. Users report faster search performance and significantly faster analytics queries. The columnar storage format (Parquet) with intelligent partitioning and caching reduces the search space by up to 99% for most queries. Built in Rust for memory safety and high performance, OpenObserve handles thousands of concurrent users querying a single cluster simultaneously.

4. Single Binary Platform

Consolidate metrics, logs, and traces on one single, efficient platform. OpenObserve comes with its own UI, eliminating the need for multiple installations. One binary to rule them all.

🎥 Introduction Video

OpenObserve Introduction

🏗️ Architecture

OpenObserve achieves 140x lower storage costs and high performance through its modern architecture:

This architecture delivers 140x cost savings while providing better performance than Elasticsearch.

Scale & Deployment

High Availability & Disaster Recovery

Deploy in High Availability mode with clustering for mission-critical workloads requiring maximum uptime and performance.

Low RPO/RTO: OpenObserve's stateless architecture with S3-backed storage enables very low Recovery Point Objective (RPO) and Recovery Time Objective (RTO). Stateless nodes can be rapidly restarted, and data durability is guaranteed by S3's 99.999999999% (11 nines) durability. That's a lot of nines.

Read detailed architecture documentation →

Read enterprise deployment guide →

🌟 Capabilities

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

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

For installing OpenObserve in High Availability mode, check High Availability deployment documentation.

🏆 Production Ready

OpenObserve is battle-tested in production environments worldwide (and by "battle-tested", we mean real production traffic, not just our test lab):

Read customer stories →

📷 Screenshots

OpenObserve includes a powerful web UI for logs, traces, dashboards, alerts, and more.

Logs

Distributed Tracing

Trace details page with full request flow visualization: Traces using OpenTelemetry

Dashboards

Dashboard

Frontend Monitoring

Real user monitoring with session replay: Session replay

See more screenshots

Home

Home

Golden Metrics from Traces

Traces golden metrics

More Dashboard Examples

Dashboard Create panel Map

Performance Analytics

Performance

Error Tracking

Error tracking

Alerts

Alerts

Streams

Streams

Ingestion

Ingestion

Pipeline

Pipeline

Functions

Function

🔐 Security & Compliance

Security Features

Compliance Certifications

OpenObserve meets the stringent security and compliance requirements of regulated industries including finance, healthcare, and government.

⚖️ License

Open Source Edition: Licensed under AGPL-3.0. We chose AGPL to ensure that improvements to OpenObserve remain open source and benefit the entire community. This license protects the commons while still allowing free commercial use.

Enterprise Edition: Licensed under a commercial Enterprise License Agreement, not AGPL. This provides additional flexibility for enterprise deployments and eliminates any concerns about AGPL requirements.

For more details:

💼 Enterprise Support

OpenObserve is built as a true open source project, and we're committed to the community. The open source version is feature-complete and production-ready - it includes logs, metrics, traces, dashboards, alerts, pipelines, and everything you need to run observability at scale. It will always remain actively maintained and free to use without restrictions.

Enterprise Edition

For organizations requiring enterprise-grade features and support, we offer an Enterprise edition with:

Enterprise Features:

Enterprise Support & SLAs:

Pricing:

For enterprise inquiries and custom deployments, contact our sales team.

🤝 Contributing

We welcome contributions from the community! Whether you're fixing bugs, adding features, improving documentation, or sharing feedback, your help makes OpenObserve better for everyone.

To get started, please read our Contributing Guide which covers:

🌍 Community

The best way to get help, share ideas, and connect with other OpenObserve users is through our community channels. We're a friendly group of developers, operators, and observability enthusiasts.

🔗 Join us on Slack

Slack

Our Slack community is the most active place for:

Join the conversation →

📱 Join OpenObserve community on WeChat

Other ways to connect

❓ FAQ

How does OpenObserve achieve 140x lower storage costs?

Through a combination of Parquet columnar storage format (efficient compression), S3-native architecture (leveraging inexpensive object storage). See the detailed comparison chart in the "Why OpenObserve?" section above.

What are the limitations?

All data in OpenObserve is immutable - once ingested, it cannot be modified or deleted (only entire retention periods can be dropped). This is by design and is actually a feature for logs and compliance requirements, ensuring data integrity and audit trails.

Is this production-ready?

Yes. OpenObserve is running in production with thousands of deployments worldwide, including environments processing in excess of 2 PB/day. See our customer stories for real-world examples.

How does query performance compare to Elasticsearch?

OpenObserve delivers better performance than Elasticsearch for most workloads. Users report faster search performance and significantly faster analytics queries, all while using 1/4th the hardware resources. The columnar storage format (Parquet) is particularly effective for complex aggregations and analytics workloads.

Is there a steep learning curve?

No. OpenObserve is designed to be intuitive from day one:

Most users are productive within hours, not weeks. Some even claim minutes, but we'll let you be the judge.

🔐 SBOM

Software Bill of Materials for OpenObserve

Rust

SBOM can be found here. You can analyze it using dependency track.

In order to generate the SBOM, you can use the following commands:

Install cargo-cyclonedx:

cargo install cargo-cyclonedx

Generate the SBOM:

cargo-cyclonedx cyclonedx

JavaScript

SBOM can be found here. You can analyze it using dependency track.

In order to generate the SBOM, you can use the following commands:

Install cyclonedx-npm:

npm install --global @cyclonedx/cyclonedx-npm

Generate the SBOM:

cd web
cyclonedx-npm > sbom.json

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