Answer: Service Dependencies: Microservices often depend on each other. Testing these interdependencies requires handling service failures, mocking services, and dealing with real-time data exchange.
Dynamic Environments: Microservices often scale dynamically, and services may be frequently added or removed. This can complicate test setup and execution.
Data Consistency: Ensuring consistency across multiple services and databases can be challenging, especially when dealing with distributed systems.
Testing in Distributed Systems: Microservices often run across multiple environments (cloud, on-premises), making it harder to replicate and test real-world conditions consistently.
Asynchronous Communication: Many microservices use event-driven or asynchronous messaging (e.g., Kafka, RabbitMQ), which introduces complexities in testing timeouts and retries.