Ever tried to figure out who owns a broken dashboard at 2 a.m.? You open Metabase, see a failing card, and somehow end up spelunking through Slack. That pain is why Metabase OpsLevel exists. It pulls your analytics and your service ownership data into one view so the right team can fix issues fast, without tribal memory or a detective hat.
Metabase makes business data visible for everyone. OpsLevel tracks which team owns which service, API, or environment. Used together, they add accountability to observability. Questions stop dying in dead dashboards, and accountability stops living in spreadsheets. This integration gives you traceability from a chart in Metabase back to the code and team that generated it.
Here’s how the workflow typically flows. Metabase emits metrics and dashboards linked to databases or pipelines. OpsLevel stores metadata about each service, including team ownership, lifecycle stage, and compliance checks. The integration connects those two maps. When a query fails in Metabase, you can see the owning team right away. When an incident happens, you can pivot from a chart to the repo, runbook, or on-call engineer.
You set it up once with API tokens and standard SSO identity like Okta or AWS IAM. Ownership data stays fresh because OpsLevel syncs automatically. Metabase continues doing what it does best, visualizing data. OpsLevel layers in governance and reliability context. Together, they become a live catalog of what your organization runs and who runs it.
Common best practices:
Use service labels consistently so queries map cleanly to the right tags. Keep your OpsLevel catalog up to date through its GitHub sync. Rotate tokens regularly to stay within SOC 2 and OIDC standards. Avoid embedding credentials inside dashboards; use Metabase’s native secret storage instead.