Replace a costly log stack
Parquet storage on disk or object storage.
Observabilité · Courses
OpenObserve: from discovery to expertise
Complete OpenObserve course: architecture, installation, OTLP and Prometheus ingestion, SQL and PromQL search, VRL functions, alerts, pipelines and production. Tested examples.
At your pace, through practice.By the end of this course you will be able to
- Deploy OpenObserve as a single node and understand its architecture
- Send logs, metrics and traces with OTLP, Prometheus and Fluent Bit
- Search with SQL and PromQL, and optimize a stream
- Create alerts and pipelines, including through the API
- Choose a deployment mode and run the platform in production
LEARNING PATH
Course curriculum
0Course overview1 lesson
1Architecture and concepts1 lesson
Storage, roles and vocabulary.
2Installation2 lessons
Deploy and ingest your first data.
3Ingestion2 lessons
OTLP, Prometheus, Fluent Bit and bulk.
4Exploration1 lesson
SQL, PromQL, stream settings and VRL.
5Alerts and pipelines2 lessons
6Production1 lesson
Deployment, security and best practices.
LEARN BY DOING
Use cases & applications
Centralize logs, metrics and traces
One UI and one binary for the three signals.
Receive OpenTelemetry
Native OTLP, with no extra component.
Alert on logs
Scheduled SQL queries and webhooks.
What next?
Frequently asked questions
Is OpenObserve free?
The open source edition is licensed under AGPL-3.0. An Enterprise edition adds SSO and custom roles among others: see the official page for its conditions.
OpenObserve or Elasticsearch?
OpenObserve aims for simplicity and cheap columnar storage queried with SQL. Elasticsearch offers richer full-text search, at the cost of heavier operations.
Do I need a cluster to start?
No: a single binary or container is enough. High availability requires Kubernetes, object storage and PostgreSQL.
Can I keep Grafana?
Yes for metrics: OpenObserve exposes a Prometheus-compatible API.