This video shows the usage of Edge Flow Manager’s flow designer and using the example flow it explains the concept of agent classes and publishing. It goes through the Dashboard view for agent classes and the canvas for the flow designer where processors, remote process groups and funnels are also explained. To see all of this in action, a very basic flow is created with two processors and published to the MiNiFi agents under the agent class the flow is designed for. After publishing, the means of tracking the flow deployment progress are also covered.

As the MLOps practice matures, there is an accumulation of stories about what works well – and what doesn’t. If you’re building up your enterprise MLOps muscle, instead of trial and error, why not tap into the collective memory of thousands of organizations who have spent the last couple of years building their MLOps practices internally and learn from their experience?

In this session of the MLOps Live Webinar series, we discuss building services with ML baked-in, that continuously deliver bottom-line business value, by embracing AutoMLOps. AutoMLOps means automating engineering tasks so that your code is automatically ready for production. In this session, we outline the challenges, describe open-source tools available for Auto-MLOps, and finish off with a live demo.