Choosing the Right Workflow Orchestrator for Production Workflows

Selecting a scalable and highly available workflow orchestrator such as airflow, Argo, Google Cloud Composer, or AWS Step Functions is crucial for ensuring reliable execution of production workflows. Although data compute and orchestration layers are essential for executing ML applications, building and operating ML applications directly on these layers is like coding in assembly language - possible but not productive. Higher levels of abstraction provided by software development layers are needed to enhance productivity. Additionally, versioning is crucial for ML applications to evolve effectively in a dynamic environment.