Vertex AI Deployment and Automation Tools – Orchestration through Managed Kubeflow Pipelines

In a typical machine learning (ML) solution, we often have lots of applications and services as part of the end-to-end workflow. If we try to stitch these services and applications together using some custom scripts with cron jobs, it becomes super tricky to manage the workflows. Thus, it becomes important to make use of some orchestration services to carefully manage, scale, and monitor complex workflows. Orchestration is the process of stitching multiple applications or services together to build an end-to-end solution workflow. Google Cloud provides multiple orchestration services, such as Cloud Scheduler, Workflows, and Cloud Composer, to manage complex workflows at scale. Cloud Scheduler is ideal for single, repetitive tasks, Workflows is more suitable for complex multi-service orchestration, and Cloud Composer is ideal for data-driven workloads.

ML workflows have a lot of steps...