The article explores the application of software testing methodologies to cloud engineering, emphasizing testing regimes like the pyramid, trophy, and honeycomb models suited for distributed and cloud architectures. It details unit, property, and integration tests, highlighting their importance in cloud environments due to complex dependencies between components that can lead to high latency. The use of Pulumi's resource graph to visualize dependencies and the implementation of mocks for efficient unit testing are discussed, with examples such as testing an EC2 instance and a SecurityGroup policy. Integration testing is demonstrated through the deployment of resources in a test environment via Pulumi's Automation API, showcasing the flexibility of infrastructure as code by utilizing Python's unittest framework and Amazon's boto3 library. The article concludes by emphasizing the efficiency of automated testing in distributed infrastructures using familiar tools and frameworks, and it encourages exploring further through Pulumi's Testing User Guide and examples.