Function-as-a-Service provides attractive solutions to execute fine-grained and short-lived functions. Functions are typically developed in a managed language and execute atop a language runtime. However, traditional runtimes are designed for peak performance as considerable time is spent profiling and Just-in-Time compiling code. We observe that short-lived FaaS workloads do not fit this profile.

We propose CloudJIT, a self-optimizing FaaS platform that takes advantage of Ahead-of-Time compilation to achieve reduced startup latency and instantaneous peak performance with a smaller memory footprint. Our preliminary analysis shows that optimizing a small fraction of functions positively affects a majority of cold starts in a realistic environment.