Gitea Backups

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Luis Felipe Dias

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You create gitea backups by saving the database, code repos, and app settings together. A complete copy needs all three parts from the same point in time. Many teams run a built-in export tool or use disk snapshots on a schedule. Still, broad server roles for backup scripts can put private code at risk. How gitea backups work under the hood A Git service stores data in two main places during normal work. The relational database holds user profiles, issues, pull requests, and access rules. Mea

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You create gitea backups by saving the database, code repos, and app settings together. A complete copy needs all three parts from the same point in time. Many teams run a built-in export tool or use disk snapshots on a schedule. Still, broad server roles for backup scripts can put private code at risk.

How gitea backups work under the hood

A Git service stores data in two main places during normal work. The relational database holds user profiles, issues, pull requests, and access rules. Meanwhile, the local disk holds the raw Git repos, file uploads, and log files. If you save only the disk files, you lose all issue comments and user roles. If you save only the database, you lose the actual source code history.

The built-in dump command packs these parts into one compressed archive file. It reads the main settings file, exports the database tables, and copies the repo folders. You must run this command as the local system user that owns the service. Running it as the root user often breaks file permissions on the local disk.

For larger setups, a single archive command can take too much time. Teams with huge repos often stop writes for a moment to take storage snapshots. They pair that disk snapshot with a native database dump tool. After the job finishes, a script sends the archive to remote cloud storage.

What native backup workflows solve and leave open

Native backup tools solve the core problem of data loss after a server crash. They gather scattered files and database rows into a clean, portable format. When a disk fails, admins can unpack the archive on a fresh host. This restores the service to its exact state from the last scheduled run.

Yet this setup leaves a wide gap in daily operational control. Host roles only decide who can log in to the server. They do not check what a user or script does during an active session. An engineer with shell permissions to check backup logs also gets full database read rights. That person can read private keys, tokens, and personal data inside the settings file.

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Database dumps also hold raw user data like emails and phone numbers. If an admin downloads a backup archive to test it locally, sensitive data leaves production. Standard OS permissions cannot rewrite matched fields in results or block single destructive commands. Teams need a way to govern individual actions without handing out full server keys.

Testing and restoring saved archives

An untested archive is not a reliable recovery plan for your team. You should test your recovery process on a separate staging server every month. First, install the exact same app version that created the saved archive file. Mismatched versions can cause database schema errors when you start the service.

Next, unpack the repo folders and the settings file into their target paths. Import the database dump file into a clean database instance on the test host. Check that the local service account owns all restored folders and files. Finally, start the app and run the built-in health check tool to find broken hooks.

Add runtime guardrails and masking beside your databases and APIs

Login rules, role grants, and CI checks govern who connects to your stack. Yet any allowed script, engineer, or AI agent still runs commands with the full scope of its role. For workloads on Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes, SSH, or internal HTTP services, hoop.dev sits beside the service as an open-source proxy, a sidecar for your database or API.

Before a query runs, hoop.dev guardrails check the statement against your rules. An AI Analyzer you configure can score intent or hold risky calls for human review. Next, hoop.dev data masking rewrites sensitive fields in responses, and each verdict is logged per listener. Explore the MIT-licensed project on GitHub.

Frequently asked questions

What parts must a complete Gitea backup include?

You must save the database dump, the raw Git repo directories, and the settings file. You also need custom templates, issue attachments, and large file storage objects if used.

Should we stop the Gitea service before running a backup?

Yes, stopping writes prevents mismatches between the database state and the Git repo files. If you cannot stop the app, pause queue workers and block pushes briefly.

Why do file permissions break after restoring a Gitea archive?

This happens when an admin runs the restore task as the system root user. Always unpack files and regenerate Git hooks using the dedicated service user account.

Save the open-source gateway.

hoop is MIT-licensed infrastructure for controlling how AI agents reach production data. Star hoophq/hoop so you can inspect it, deploy it, or share it when your team starts governing agent access.