We usually design microservices with a cloud-first mindset. If a container needs more RAM, we scale it up. If latency increases, we add a cache or a load balancer.
But the world is shifting toward Software-Defined Vehicles (SDVs) and edge computing. In these environments, hardware is fixed, and latency can be a matter of life and death (e.g., autonomous braking systems). Migrating a legacy C/C++ monolith to microservices in this context is dangerous. The overhead of containerization (Docker) and inter-process communication (IPC) can easily overwhelm an embedded CPU.
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