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 microservices, customer-facing applications, employee workflows, integrations, and business process automations. Developing CI/CD (continuous integration and continuous delivery) pipelines ensures a seamless path to build and deploy 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, grow the number of test cases, and increase testing velocity.To read this article in full, please click here
Devops teams aim to increase deployment frequency, reduce the number of defects found in production, and improve the reliability of microservices, customer-facing applications, employee workflows, integrations, and business process automations. Developing CI/CD (continuous integration and continuous delivery) pipelines ensures a seamless path to build and deploy 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, grow the number of test cases, and increase testing velocity.