You're in good company.

I used the parallelized hyper-parameter tuning (incredible) to run about 350 experiments in 30 minutes, which normally would have taken 2 days.

By cutting our machine learning experiment time from 2 days to 30 minutes we had a huge gain in the number of experiments we could run each day. By allowing us to iterate faster, we could quickly experiment with more machine learning approaches, which ultimately got us to production ready models very quickly.

As a vendor to covered entities under HIPAA, security and compliance are huge issues for us. Prefect’s hybrid execution model was key to being able to run with Cloud while none of our client data left our infrastructure.

We context-switched to Prefect, got into Prefect Cloud as early adopters. We have definitely gotten the return on our investment. All aspects of our data organization use Prefect for scheduling data workflows. Prefect is now how we write these data applications and people expect to start there for anything new.

Saving us days on DAG design vs. Airflow

We were able to use AWS ECS Fargate as our agent and flow execution environment to limit our total cost of ownership on the infrastructure side. It was a huge success and has really enabled our data user to do much more than just waiting on Data Engineering, which was the ultimate goal.

We call Prefect our secret sauce. We can now enter other industries at an unlimited capacity.

Prefect, for us, has changed how we position our company and our roadmap. We shifted hard from a dashboard company (with a relentless cycle of never being done) to a modern, clean engineering company.

Prefect Cloud is worth 3 full-time engineers.