How synthetic test data can unblock your engineering team without breaking compliance
Most product and engineering teams want the same two things Move fast on features and stay out of trouble with security and compliance The tension usually shows up when you talk about test data Eng...

Source: DEV Community
Most product and engineering teams want the same two things Move fast on features and stay out of trouble with security and compliance The tension usually shows up when you talk about test data Engineers want realistic behavior and edge cases Security wants less spread of real customer records Compliance wants clear answers about where personal data goes and why Synthetic data is one of the few approaches that can make all three groups reasonably happy at the same time What we actually need from test data ? If you look at how staging and QA environments are used day to day the requirements are pretty consistent Realistic structure the same schemas tables and relationships as production Realistic behavior similar distributions nulls weird formats and edge cases Repeatability the ability to recreate scenarios when bugs appear Safety test data should not increase the blast radius of a breach or misconfiguration Cloning production gives you the first three but fails on safety Heavily mocke