Infrastructures to Support Dependency Injection in Serverless Cloud Computing

The flourishing adoption of Function as a Service (FaaS) platforms has revolutionized cloud computing, offering unparalleled scalability and cost efficiency through event-driven, ephemeral execution. However, the stateless and short-lived nature of FaaS functions, while advantageous for certain paradigms, presents significant challenges for managing complex application dependencies and state. In particular, the current state of art doesn’t provide efficient and dynamic strategies to facilitate the integration of Backend as a Service (BaaS) services into FaaS functions. Traditional software engineering practices, particularly Dependency Injection (DI), are often difficult to implement effectively within current FaaS environments. Developers typically resort to manual dependency management, leading to boilerplate code, reduced maintainability, and increased cold start times. This thesis proposes the introduction of a dedicated infrastructural support within FaaS platforms to implement Dependency Injection. This novel approach aims to streamline the development and deployment of sophisticated FaaS applications by abstracting away the complexities of dependency provisioning and lifecycle management. The proposed infrastructure would provide mechanisms for defining and registering dependencies, automatic injection into function invocations, and potentially caching frequently used dependencies. By integrating DI at the platform level, developers can leverage established software design patterns, enhancing code reusability, testability, and overall application robustness. This infrastructural support would mitigate cold start penalties, optimize resource utilization, and foster the development of more complex, enterprise-grade FaaS solutions, ultimately bridging the gap between traditional application development methodologies and the unique demands of serverless architectures.