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J·BJon BishopIndependent growth marketer

Analytics and attribution · Source reviewed; not hands-on tested

OpenObserve

A unified platform for logs, metrics and traces emphasizing low storage and compute cost, with cloud, self-hosted, dashboards, search and newer AI SRE, anomaly-detection and LLM-observability capabilities.

Reviewed 2026-10-09

When this is useful

Good fit for cost-conscious engineering organizations that want a single logs/metrics/traces system and control of their telemetry storage or bucket.

Verified product and commercial scope

A unified platform for logs, metrics and traces emphasizing low storage and compute cost, with cloud, self-hosted, dashboards, search and newer AI SRE, anomaly-detection and LLM-observability capabilities.

Pricing model: Usage-based cloud per GB ingested and queried; free open-source core; enterprise quote-led. Cloud Professional is $0.50/GB ingested plus $0.01/GB queried, billed monthly, with a 14-day trial and 30-day non-metrics retention. Enterprise offers additional retention and volume discounts.

License and deployment: Open-source core under AGPL-3.0; available as OpenObserve Cloud or self-hosted.

A useful evaluation

Good fit for cost-conscious engineering organizations that want a single logs/metrics/traces system and control of their telemetry storage or bucket.

Check included usage, deployment requirements, and what moves to a higher or custom tier before comparing cost.

Put it to work

  1. Write the job and smallest successful outcome this tool should support.
  2. Compare one realistic workload or workflow against the published plan and deployment conditions.
  3. Record likely growth costs and validate the fit with the people who will operate the tool.

Limits and tradeoffs

The self-hosted route shifts installation and operations to the customer, and longer non-metrics retention is an enterprise offering.

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