lesson 4b: deploying model monitoring service with cloud run and cloud functions

[rbavery]

This improves the GCP section to describe

• how to work with the ml workstation deployed with terraform
• adds figures describing wha tis a cloud, lists advantages compared to cola or local
• describes gcp services relevant to an ml engineer, especially Cloud Run and Cloud Functions
• includes an example, edited plume stack for deploying a real time monitoring service that maps to the GCP infra figure presented in the notebook

Still to-do

• descriptions of pulumi stack specifics with images to paint a picture of wha tis infra as code
• link to other pulumi resources
• describe more expensive but managed platform alternatives on GCP that are mentioned

[gitnotebooks[bot]]

Found 1 changed notebook. Review the changes at https://gitnotebooks.com/developmentseed/tensorflow-eo-training-2/pull/5

[lillythomas]

Cite the source of the image

Respond and view the context here.

[lillythomas]

a ML not an

Respond and view the context here.