Systems | Development | Analytics | API | Testing

Getting Started with CI/CD and Continual

While CI/CD is synonymous with modern software development best practices, today’s machine learning (ML) practitioners still lack similar tools and workflows for operating the ML development lifecycle on a level on par with software engineers. For background, follow a brief history of transformational CI/CD concepts and how they’re missing from today’s ML development lifecycle.

Blue-Green, Rolling, and Canary: Continuous Deployments Explained

If you still rely on big-bang deployments or are ever afraid to break your production environment when you push changes, then it is seriously time to invest in building a strong CI/CD pipeline. Pushing changes quickly and often is critical. The best way to mitigate the risks of new releases is to have a strong deployment strategy in place. Continuous deployment automates the deployment process, which lets you deliver new features and improvements to your applications faster than before.