Performing Operations in GitLab
Keep your GitLab instance up and running smoothly.
- Clean up Redis sessions: Prior to GitLab 7.3, user sessions did not automatically expire from Redis. If you have been running a large GitLab server (thousands of users) since before GitLab 7.3 we recommend cleaning up stale sessions to compact the Redis database after you upgrade to GitLab 7.3.
- Moving repositories: Moving all repositories managed by GitLab to another file system or another server.
- Sidekiq MemoryKiller: Configure Sidekiq MemoryKiller to restart Sidekiq.
- Multiple Sidekiq processes: Configure multiple Sidekiq processes to ensure certain queues always have dedicated workers, no matter the number of jobs that need to be processed.
- Puma: Understand Puma and puma-worker-killer.
- Unicorn: Understand Unicorn and unicorn-worker-killer.
- Speed up SSH operations by Authorizing SSH users via a fast, indexed lookup to the GitLab database, and/or by doing away with user SSH keys stored on GitLab entirely in favor of SSH certificates.
- Filesystem Performance Benchmarking: Filesystem performance can have a big impact on GitLab performance, especially for actions that read or write Git repositories. This information will help benchmark filesystem performance against known good and bad real-world systems.
- ChatOps Scripts: The GitLab.com Infrastructure team uses this repository to house common ChatOps scripts they use to troubleshoot and maintain the production instance of GitLab.com. These scripts are likely useful to administrators of GitLab instances of all sizes.
