3 ms·
Just make sure you build some abstractions and have a backup plan. Don't get locked-in their API. It may/will ruin your business.
by thefounder 7y ago
Just make sure you build some abstractions and have a backup plan. Don't get locked-in their API. It may/will ruin your business.
- siganakis 7y agoCloud AI Platform Pipelines appear to use Kubeflow Pipelines on the backend, which is open source [1] and runs on Kubernetes. The Kubeflow team has invested a lot of time on making it simple to deploy across a variety of public clouds [2], [3]. If Google were to kill it, you could easily run it on any other hosted Kubernetes service. I haven't used Cloud AI Platform Pipelines, but have spent a lot of time working with Kubeflow Pipelines and its pretty great! [1] https://github.com/kubeflow/pipelines https://github.com/kubeflow/pipelines [2] https://www.kubeflow.org/docs/aws/ https://www.kubeflow.org/docs/aws/ (Deploy to AWS) [3] https://www.kubeflow.org/docs/azure/ https://www.kubeflow.org/docs/azure/ (Deploy to Azure)