Designing an end-to-end ML platform
After discussing several open-source technologies individually, let’s now delve into their integration and see how these components come together. The architecture patterns and technology stack selection may vary based on specific needs and requirements. The following diagram presents the conceptual building blocks of an ML platform architecture:
Figure 7.12: ML platform architecture
Next, let’s delve into different strategies to implement this architecture concept with different combinations of open-source technologies.
ML platform-based strategy
When designing an ML platform using open-source technologies, one effective strategy is to utilize an ML platform framework as a base platform and then integrate additional open-source components to address specific requirements. One such ML platform framework is Kubeflow, which provides a robust foundation with its built-in building blocks for an ML platform. By leveraging...
