Why we created a Memory team at GitLab

GitLab, an all-in-one DevOps solution, faces challenges due to its increasing memory requirements as new features are added, prompting some users to switch to lighter alternatives. To address this, GitLab has established a dedicated Memory team focused on reducing the application's memory footprint from 8GB to 1GB, enabling it to run on devices like a Raspberry Pi. The team is exploring multiple strategies, including migrating from Unicorn to the more memory-efficient Puma server, investigating memory bottlenecks, and improving development practices around code complexity and memory usage. Initial tests with Puma have shown promise, and the team is also addressing memory issues with the Sidekiq background processor. The Memory team, albeit small, is actively recruiting to expand its expertise and workload capacity, aiming to achieve significant memory reductions by the 12.3 release.

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