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.

How to Deploy an API Gateway Within a CI/CD Pipeline

Continuous integration and continuous deployment—known colloquially as CI/CD—are essential strategies for building modern software applications. The goal of these processes is to foster a culture of continuous updates. CI is the process by which an external machine (not your local development environment) fetches your app and dependencies and then runs a test suite to ensure everything in your application builds and runs correctly.