Observability in Serverless Distributed Systems

As OrderProcessor grows from a simple serverless workflow into a distributed system, understanding what the platform is doing becomes just as important as making it work. A single order may now pass through HTTP endpoints, Durable Functions orchestrations, activity functions, queues, external APIs, and persistence layers before the workflow is complete. That kind of architecture brings flexibility and scale, but it also makes failures harder to see and performance harder to explain. When something slows down, retries unexpectedly, or disappears into a queue, traditional logging on its own is no longer enough. The system needs to become observable in a way that matches its distributed nature.