How we made our merge queue lower its own quality bar (only when it's drowning)

In the blog post, Julian Maurin discusses the implementation of a dynamic batch size for a merge queue system that processes pull requests (PRs) in a continuous integration (CI) environment. The initial system, which tested each PR individually, struggled during sudden influxes of requests, leading to inefficiencies. By introducing a flexible batch size that adjusts between a minimum and maximum based on the current load, the system can better handle unpredictable spikes in demand without manual intervention. This adjustment allows for pairing PRs under high load to expedite processing while maintaining the ability to test individually during quieter periods, thus optimizing the balance between reliability, cost, and velocity. The change was first tested on June 16, leading to a significant increase in efficiency without compromising on the quality or reliability of the CI process.

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