4 posts
dropbox Reducing our monorepo size to improve developer velocity At Dropbox, almost every product change flows through a single place: our server monorepo. A monorepo is a single, shared Git repository that contains many services and libraries used across the company. Instead of splitti…
dropbox Insights from our executive roundtable on AI and engineering productivity Improving engineering productivity is crucial to the work we do at Dropbox. The more quickly we can deliver high-quality features to our customers, the more value they can get from our products. This rapid…
daangn Daangn Pay’s backend evolution demonstrates how software architecture must shift from a focus on development speed to a focus on long-term sustainability as a service grows. Over four years, the platform transitioned from a simple layered structure to a complex monorepo powered by Hexagonal and Clean Architecture principles to manage increasing domain complexity. This journey highlights that technical debt is often the price of early success, but structural refactoring is essential to support organizational scaling and maintain code quality. ## Early Speed with Layered Architecture * The initial system was built using a standard Controller-Service-Repository pattern to meet the urgent deadline for obtaining an electronic financial business license. * This simple structure allowed for rapid development and the successful launch of core remittance and wallet features. * As the service expanded to include promotions, billing, and points, the "Service" layer became overloaded with cross-cutting concerns like validation and permissions. * The lack of strict boundaries led to circular dependencies and "spaghetti code," making the system fragile and difficult to test or refactor. ## Decoupling Logic via Hexagonal Architecture * To address the tight coupling between business logic and infrastructure, the team adopted a Hexagonal (Ports and Adapters) approach. * The system was divided into three distinct modules: `domain` (pure POJO rules), `usecase` (orchestration of scenarios), and `adapter` (external implementations like DBs and APIs). * This separation ensured that core business logic remained independent of the Spring Framework or specific database technologies. * While this solved dependency issues and improved reusability across REST APIs and batch jobs, it introduced significant boilerplate code and the complexity of mapping between different data models (e.g., domain entities vs. persistence entities). ## Scaling to a Monorepo and Clean Architecture * As Daangn Pay grew from a single project into dozens of services handled by multiple teams, a Monorepo structure was implemented using Gradle multi-projects. * The architecture evolved to separate "Domain" modules (pure business logic) from "Service" modules (the actual runnable applications like API servers or workers). * An "Internal-First" policy was adopted, where modules are private by default and can only be accessed through explicitly defined public APIs to prevent accidental cross-domain contamination. * This setup currently manages over 30 services, providing a balance between code sharing and strict boundary enforcement between domains like Money, Billing, and Points. The evolution of Daangn Pay’s architecture serves as a practical reminder that there is no "perfect" architecture from the start; rather, the best design is one that adapts to the current size of the organization and the complexity of the business. Engineers should prioritize flexibility and structural constraints that guide developers toward correct patterns, ensuring the codebase remains manageable even as the team and service scale.
airbnb Migrating Airbnb’s JVM Monorepo to Bazel -- 1 Listen Share By: Jack Dai, Howard Ho, Loc Dinh, Stepan Goncharov, Ted Tenedorio, and Thomas Bao At Airbnb, we recently completed migrating our largest repo, the JVM monorepo, to Bazel. This repo contains tens of millions of lines of…