Datadog’s CI Traffic Grew 20x. The Git Servers Were Never the Slow Part.
medium·
This article explores how Datadog re-architected its internal GitRetriever system after continuous integration pipelines—rather than human developers—grew Git server traffic by 20x. It breaks down why standard Git server scaling techniques fail when machine-driven load patterns dominate, and details the architectural shifts required to handle high-frequency automated fetches efficiently. As you grow toward a Staff Engineer role, recognizing how automated workflows change fundamental system assumptions is vital. CI/CD runners produce access patterns radically different from human engineers, making naive server scaling inefficient. Datadog's experience demonstrates how to separate concern layers by introducing specialized caching and retrieval abstractions, offering a valuable blueprint for designing resilient developer platforms and high-throughput internal infrastructure.