Analyze merge queue performance for specific parts of your codebase
Now you can filter merge queue health metrics by impacted targets to see exactly how well this parallel workflow is performing for each part of your codebase. For example, in a TypeScript/Python monorepo, you can view metrics specifically for TypeScript PRs versus Python PRs, identify if one team is experiencing slower merge times than another, and optimize queue configuration for your highest-priority code paths.
This visibility helps you demonstrate the value of parallel mode to engineering leadership, ensure fair queue performance across teams, and make data-driven decisions about how different parts of your codebase move through the merge process and priorities.