What is a Merge Queue and How Do You Manage One?

In this article, you'll learn all about why you need a merge queue and how to manage one.

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How High-Throughput Teams Merge Faster Using Parallel CI and Batch CI Runs

Parallel CI and Batch CI banner

High-throughput engineering teams often hit merge delays because CI pipelines run in strict sequence. Parallel CI fixes this by running jobs concurrently, cutting down wall-clock time and giving faster feedback. Batch CI takes it further by grouping multiple pull requests into a single run, reducing redundant builds and surfacing conflicts earlier. Together, they transform CI from a bottleneck into a throughput engine, helping teams merge faster, with fewer conflicts and a smoother developer experience.

Impact of Flaky Tests in Merge Queue

Flaky tests, which fail unpredictably without changes in code or environment, can cause significant delays in development. They disrupt merge queues by blocking valid pull requests, leading to resets, wasted resources, and frustration among developers. Merge queues are designed to streamline the integration process, but flaky tests undermine their efficiency. Tools like Aviator MergeQueue help manage these challenges with features such as parallel testing and early validation. By addressing flaky tests and stabilizing testing environments, teams can ensure smoother workflows and more reliable CI/CD pipelines.

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