232: Building a Business Solo: Streaming Data, Synthetic Testing, and Startup Lessons with Michael Drogalis of ShadowTraffic.io
The Data Stack Show
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Navigating Testing Complexities in B2B SaaS
This chapter explores the challenges of testing and validating major updates in B2B SaaS applications, focusing on the intricacies of managing real-time streaming data and the need for reliable testing methods. It discusses the balance between using existing production data and generating synthetic data to simulate realistic scenarios, emphasizing the importance of thorough testing frameworks. The conversation highlights innovative approaches, including the use of custom tools and a Domain-Specific Language for improved data modeling and testing workflows.
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