How GitLab Built a Single Codebase for One Million CI Pipelines

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How GitLab Built a Single Codebase for One Million CI Pipelines

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In this episode, Lucas and Luna dive into the specific technical decisions GitLab made to scale its CI/CD platform from tens of thousands of pipelines to over one million per day. They focus on the choice of a monolithic application architecture, the use of PostgreSQL partitioning and Redis Cluster, and the trade-offs around job scheduling and queue management. The discussion highlights how GitLab avoided microservice complexity early on and instead optimized a single codebase to handle massive parallel workloads. Listeners will learn about the concept of 'fleet-wide coordination' and how GitLab's engineering team used feature flags and gradual rollout to maintain reliability during rapid growth. This is a concrete case study in scaling developer tools without rewriting everything. #GitLab #CICD #PipelineScaling #MonolithArchitecture #PostgreSQL #RedisCluster #JobScheduling #FeatureFlags #DeveloperTools #ContinuousIntegration #ContinuousDeployment #EngineeringCulture #TechnicalLeadership #BusinessAndTechnology #DevOps #Scale #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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