Aqueduct: Take Data Science to Production

Hi everyone!

We've been working on making data teams more productive with Aqueduct for over a year, and we're really excited to share what we've been building.

There's a large (and growing!) number of programmers in the world who understand data and can solve business problems but don't want to spend their time wrangling low-level cloud infrastructure to get their work into the cloud. The existing MLOps tools that claim to solve this problem have been built by & for software teams, and they're incredibly complicated.

With Aqueduct, we've built a tool that's designed for data teams and abstracts away the underlying infrastructure. Aqueduct has a simple Python API that allows you to define a workflow as a composition of Python functions. Those workflows can be easily connected to data sources and can be run anywhere from your laptop to a Kubernetes cluster in the cloud. Once a workflow's running, Aqueduct has lightweight hooks to compute metrics and run tests over your pipelines to ensure they're producing high-quality results.

To learn more about what we're building, check out our GitHub repo or join our community Slack:

https://github.com/aqueducthq/aqueduct https://slack.aqueducthq.com