Use synthetic data for continuous testing and machine learning

Devops teams aim to increase deployment frequency, reduce the number of defects found in production, and improve the reliability of everything from microservices and customer-facing applications to employee workflows and business process automations. 

Implementing CI/CD (continuous integration and continuous delivery) pipelines ensures a seamless path to building and deploying all of these applications and services, and automating testing and instituting continuous testing practices help teams maintain quality, reliability, and performance. With continuous testing, agile development teams can shift-left their testing …

data data quality data science data scientist devops learning machine machine learning synthetic data testing