- Machine Learning With Go
- Daniel Whitenack
- 186字
- 2021-07-08 10:37:29
Deploying/installing Pachyderm
We will be using Pachyderm in various other places in the book to both version data and create distributed ML workflows. Pachyderm itself is an app that runs on top of Kubernetes (https://kubernetes.io/), and is backed by an object store of your choice. For the purposes of this book, development, and experimentation, you can easily install and run Pachyderm locally. It should take 5-10 minutes to install and doesn't require much effort. The instructions for the local installation can be found in the Pachyderm documentation at http://docs.pachyderm.io.
When you are ready to run your workflows in production or your deploy model, you can easily deploy a production-ready Pachyderm cluster that will behave the same exact way as your local installation. Pachyderm can be deployed to any cloud, or even on premises.
As mentioned, Pachyderm is an open source project and has an active group of users. If you have questions or need help, you can join the public Pachyderm Slack channel by visiting http://slack.pachyderm.io/. The active Pachyderm users and the Pachyderm team itself will be able to respond very quickly to your questions there.
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