How we scaled async workload processing at GitLab.com using Sidekiq

GitLab, a Ruby-on-Rails application, utilizes Sidekiq, a background-processing framework for Ruby, to handle asynchronous data processing efficiently. Initially, GitLab faced challenges with queue management, leading to incidents in 2019 that necessitated a restructuring of the Sidekiq job and role relationship to improve scalability and performance. This involved transitioning from a many-to-many to a one-to-one relationship between jobs and roles, allowing for more efficient use of resources and reducing job processing delays. Additionally, GitLab implemented queue selectors to classify and manage workloads, improving processing predictability and resource allocation. A significant reduction in Sidekiq nodes and CPUs resulted in cost savings and better resource utilization. The adoption of Sidekiq Cluster as a default and compatibility with Kubernetes further enhanced infrastructure management, setting the stage for future optimizations in queue management and resource scaling.

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