Shopify’s primary application is a monolithic Rails application that powers our cloud-based, multi-channel commerce platform for 600,000+ merchants in over 175 countries. As we continue to grow the number of developers working on the app, our tooling has grown with them.
Overview
The article introduces the Merge Queue, a feature developed by Shopify to enhance the merging process within their monolithic Rails application. It discusses the challenges faced with increasing developer activity and how the Merge Queue automates and streamlines pull request management, leading to safer and faster deployments.
What You'll Learn
How to implement a merge queue to automate pull request management
Why using a merge queue can improve deployment safety and speed
How to configure Shipit for optimal merge queue functionality
Prerequisites & Requirements
- Understanding of trunk based development workflows
- Familiarity with Shipit and GitHub integration(optional)
Key Questions Answered
How does the Merge Queue enhance the merging process at Shopify?
What challenges does Shopify face with its monolithic Rails application?
What features does Shipit provide for managing unsafe commits?
How does the Merge Queue integrate with GitHub?
Key Statistics & Figures
Technologies & Tools
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Key Actionable Insights
1Implementing a merge queue can significantly reduce merge conflicts and streamline the deployment process.As development teams grow, the likelihood of merge conflicts increases. By automating the merge process, teams can focus on delivering value rather than managing conflicts.
2Utilizing Shipit's features for marking unsafe commits can enhance deployment safety.By automatically detecting reverts and marking related commits as unsafe, developers can avoid deploying potentially problematic changes, leading to a more stable production environment.
3Encouraging the use of the merge queue as the default merging mechanism can improve team efficiency.Adjusting the visibility of the merge buttons in GitHub can nudge developers towards using the merge queue, which has been shown to increase adoption rates.