Learn how we tracked a performance bottleneck to a 15-year-old Git function and fixed it, leading to enhanced efficiency that supports more robust backup strategies and can reduce risk.
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Take a look back with us as we dive into our Reference Architectures design journey to help users easily deploy GitLab at scale. Learn our goals, process, and what's happened in the five years since.
Discover how we built our first multi-region deployment for teams at GitLab using the platform's many features, helping create a frictionless developer experience for GitLab Duo users.
Learn how Distributed Tracing helps troubleshoot application performance issues by providing end-to-end visibility and seamless collaboration across your organization.
Learn how we continuously analyze AI feature performance, including testing latency worldwide, and get to know our new AI continuous analysis tool.
In Git 2.45.0, GitLab upstreamed the reftable backend to Git, which completely changes how references are stored. Get an in-depth look at the inner workings of this new format.
Our blog series continues spotlighting a new feature that provides detailed metrics, such as the Code Suggestions Usage Rate, to help understand the effectiveness of AI investments.
GitLab streams terabytes of Git data every hour using Golang abstractions of I/O implementations. Learn how to compose Readers and Writers in Golang apps.
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