GCP Testing
Pub/Sub is the messaging backbone for most GCP architectures. It decouples services, enables event-driven patterns, and handles traffic spikes by buffering messages. It also introduces testing complexity that synchronous APIs don't have: messages are asynchronous, ordering isn't guaranteed, delivery can happen more than once,
Streaming
Stream processing jobs are notoriously difficult to test. Flink and Spark Streaming jobs process unbounded data with complex windowing logic, watermarks, and stateful operations. The standard "run it and see" approach doesn't work — you need deterministic, reproducible tests that verify your transformation logic without running a
Event Sourcing
Event sourcing inverts the traditional data model — instead of storing current state, you store a sequence of events that describe what happened. This makes testing both easier and harder. Easier because events are immutable facts you can inspect directly. Harder because bugs in event replay logic corrupt all derived state,