Creating and maintaining cloud infrastructure via "DevOps programs" is essential to using the cloud. However, developing and testing the DevOps programs requires resource provisioning in the cloud, which is time-consuming and costly. Cloud emulators seek to enable high velocity development by emulating cloud-level APIs to DevOps programs, enabling frictionless testing locally without going through the cloud. However, developing these emulators today is tedious and error-prone: engineers need to digest extensive documentation, and hand-craft emulation logic for each service and service interactions. We make a case for a fundamentally different approach: to "learn" emulation logic from cloud documentation via automated code synthesis. We observe that this task is particularly amenable to AI automation, and that we can constrain the code generation using principled abstractions for accurate synthesis at scale. We report our preliminary findings and discuss new opportunities that our approach will enable. check

We argue that network virtualization as experienced by many cloud tenants is overly complex and needs to be rethought. We propose that the goal for a new design should be to free cloud tenants entirely from having to build and operate virtual networks. Building on this philosophy, we propose that instead of low-level building blocks (virtual links, routers, firewalls), cloud networking should be exposed to tenants in a declarative and endpoint-centric manner.