GitLab Grafana Dashboards
You set up gitlab grafana dashboards by linking your GitLab metrics to a Grafana server. First, you turn on metrics in GitLab and add the data source in Grafana. Teams often start by sharing one broad admin account for this setup. They want to see build times and server health right away. Still, broad roles create big risks for your data and systems. Anyone with that login can edit charts, change alerts, or read secret system logs. You need clear rules for who can view and change your charts.
GitLab Security Dashboard + Grafana Access Control: the complete guide
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You set up gitlab grafana dashboards by linking your GitLab metrics to a Grafana server. First, you turn on metrics in GitLab and add the data source in Grafana.
Teams often start by sharing one broad admin account for this setup. They want to see build times and server health right away. Still, broad roles create big risks for your data and systems. Anyone with that login can edit charts, change alerts, or read secret system logs. You need clear rules for who can view and change your charts.
How to set up gitlab grafana dashboards
Your GitLab server collects system data while your code jobs run. It uses a built-in metrics tool to track memory, disk space, and job speed. To see this data, you must connect Grafana to that metrics store. First, an admin enables the metrics feed inside the GitLab system settings.
Next, you log in to your Grafana app with an admin role. You add a new data source and point it to the GitLab metrics address. Once the link works, you can import standard chart templates for your team. These templates show web server traffic, database load, and runner queues.
After the charts load, you set up user roles inside Grafana. Grafana offers basic roles like viewer, editor, and admin for your team. Viewers can only look at the charts on the screen. Editors can build new panels and change the search queries behind them. Admins can add new data sources and manage all user accounts.
Where native dashboard roles fall short
Native roles in GitLab and Grafana solve your basic login problems. They let you decide who can open the app and view a chart. You can also connect single sign-on to match users with team groups. This stops random guests from seeing your private build counts and server load.
Still, these native roles leave a big gap during live work. A role only checks who logs in at the start of a session. It does not check what individual queries or requests do in flight. An editor with valid access can still run a heavy query by mistake. That single query can overload the metrics database and slow down GitLab.
GitLab Security Dashboard + Grafana Access Control: architecture patterns and best practices
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Shared service tokens between Grafana and your databases create another blind spot. When ten engineers use the same editor role, the database sees one shared user. You cannot tell which person ran a specific query from the raw logs. Also, if a database holds private user fields, standard roles do not filter them. Data masking can rewrite emails, phone numbers, and card numbers in query results. Without checks on live requests, broad roles still expose too much raw data.
Best practices for dashboard security and access
Start by giving most engineers the basic viewer role in Grafana. Only a few team leads should hold the editor role in production. Never share the main admin password across your engineering team. Instead, link your identity provider so each person logs in with their own email.
Next, separate your test metrics from your live production data sources. Let developers test new chart queries in a safe test space first. Review the database permissions given to your Grafana data source account. That account should only have read access to the specific tables it needs. It should never have permission to write, delete, or change your GitLab data.
Finally, review your active user list and API tokens every month. Remove old tokens that belonged to past projects or former team members. Keep a clear audit log of who runs direct queries against your backend stores. When you pair tight login roles with query checks, your system stays fast and safe.
Govern statements and responses across databases and APIs
Good config and scoped roles are needed setup. They do not check single queries in flight or mask sensitive fields in returned rows. Across Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, and internal HTTP endpoints, hoop.dev runs beside each supported service as an open-source proxy, a sidecar for your database or API.
First, hoop.dev guardrails block banned queries before they run. Then hoop.dev data masking rewrites matched sensitive values in responses in memory. The audit trail records every statement and verdict per resource. Furthermore, hoop.dev holds SOC 2 Type II and is open source on GitHub.
Frequently asked questions
How does Grafana get metrics from a GitLab server?
GitLab gathers system metrics using its own built-in collection service. Grafana reads that service as a data source and draws the charts.
Can viewers change the queries behind gitlab grafana dashboards?
No, users with the viewer role can only look at existing charts. You must have an editor or admin role to change panel queries.
Why should we avoid using database admin keys for dashboard data sources?
Admin keys let users change or delete data if a query goes wrong. Always use a read-only database role for all your chart data sources.