Optimize GitLab object storage for scale and performance

Effectively managing GitLab at scale involves strategically configuring object storage for optimal performance, security, and reliability across various components such as artifacts, LFS, uploads, and packages. By utilizing a consolidated form for these GitLab components, credential duplication is minimized, allowing for encrypted S3 buckets and proper Content-MD5 headers. In contrast, the container registry requires a separate configuration, advocating for the use of the new s3_v2 driver over the deprecated s3_v1 to enhance performance and reliability. Disabling proxy downloads by setting proxy_download to false can significantly reduce server load and egress costs, as it allows clients to download directly from object storage, which is particularly beneficial for large artifacts and LFS files. Identity-based authentication is recommended, with AWS IAM roles, Google application default credentials, and Azure workload identities providing secure alternatives to access keys. Adding server-side encryption offers an additional layer of security, and separate buckets should be used for each component to improve organization, enhance security, and simplify cost tracking. The guide emphasizes the importance of starting with a consolidated form for GitLab objects to reduce complexity, configuring the registry separately with IAM authentication, enabling encryption, optimizing performance with direct downloads, and setting up lifecycle policies to manage incomplete uploads. These configurations are designed to scale with growth while maintaining security and performance, reflecting the different architectures of GitLab object storage and container registry, yet benefiting from the same optimization principles.

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