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Article · OpenObserve: from discovery to expertise

OpenObserve: architecture and concepts

1. OpenObserve at a glance #

An observability platform in a single binary.

Overview #

OpenObserve is an open source observability platform written in Rust. It brings logs, metrics and traces, dashboards, alerts and data pipelines into one product. Its distinctive feature: data is stored in columns, in Parquet format, on disk or in object storage, without a full inverted index as in Elasticsearch. Storage gets much cheaper; the vendor announces very large gaps, to be checked on your own data.

A single binary is enough to start: no cluster to build, no JVM. In our tests, a local node used about 370 MB of memory.

Open source or Enterprise? #

Open source (AGPL-3.0)Enterprise
Logs, metrics, traces, dashboards, alertsYesYes
Configurable retentionYesYes
PipelinesYes, without remote destinationsYes
Fine-grained access (custom roles)NoYes
SSO, federated search, full audit trailNoYes
To check: the split and conditions change over time. The vendor also offers the self-hosted Enterprise edition free below a daily ingestion threshold: see the official page. This course uses the open source edition.

2. Architecture #

From a single binary to a cluster.

Two deployment modes #

OpenObserve architecture in local mode and in high availability
Local mode covers many needs; high availability requires Kubernetes and object storage.
RolePurpose
RouterReceives and routes requests, serves the UI
IngesterReceives data, writes the WAL, produces Parquet and uploads it
QuerierRuns searches; stateless
CompactorMerges small files and enforces retention
SchedulerRuns scheduled alerts and reports

In high availability, PostgreSQL holds metadata and NATS handles coordination. Local disk is not supported there.

The journey of a record #

  1. The ingester writes the event to a WAL and to memory.
  2. Data is periodically converted to local Parquet files, already searchable.
  3. These files are uploaded to object storage.
  4. The compactor merges small files to speed up searches.

3. Concepts #

The vocabulary to know.

Organization, stream and schema #

ConceptMeaning
OrganizationIsolated space; the default in URLs
StreamEquivalent of an index; it has a type: logs, metrics or traces
SchemaCreated and extended automatically at ingestion
_timestampTimestamp of each event, in microseconds

OpenObserve versus other tools #

NeedOpenObserveOther choice
Simple all-in-oneOne binary, three signalsSigNoz, ClickStack (ClickHouse)
Very rich full-text searchSimpler, SQLElasticsearch, OpenSearch
Grafana ecosystemOwn UI, PromQL compatibleLoki, Mimir, Tempo

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