pymc-labs / gpt-bayes

Deploying Your Application with Google Cloud Build

This repository provides the necessary configurations for deploying your application using Google Cloud Build.

Deploy NGINX Reverse Proxy

To deploy the NGINX Reverse Proxy, navigate to the nginx directory and execute the following commands:

cd nginx
gcloud builds submit

This process will build a Docker container, push it to Google Artifact Registry (GAR), and deploy it to Cloud Run.

Modify IP in NGINX Reverse Proxy

To update the IP address in the NGINX Reverse Proxy configuration, navigate to the nginx directory, edit the nginx.conf file, and modify the value of the IP in the proxy_pass directive:

cd nginx
# Open nginx.conf in your preferred text editor and update the IP
# Example: proxy_pass http://35.208.203.115:5000;

Build and Push Webapp Container to Google Artifact Registry (GAR)

Execute the following command to build and push the web application container to Google Artifact Registry:

gcloud builds submit

This process will build a Docker container, push it to Google Artifact Registry (GAR). This doesn't deploy to Google Compute Engine (GCE).

Deploy to Google Compute Engine (GCE)

List Container-Optimized OS (COS) image names:

gcloud compute images list --project cos-cloud --no-standard-images

Update container:

gcloud compute ssh gpt-bayes --zone us-central1-a --command 'docker system prune -f -a'

gcloud compute instances update-container gpt-bayes \
  --zone=us-central1-a \
  --container-image=us-central1-docker.pkg.dev/bayes-gpt/gpt-bayes/gpt-bayes:latest

Deploy:

gcloud compute instances create gpt-bayes \
 --machine-type e2-standard-4 \
 --boot-disk-size 20GB \
 --image image-name \
 --image-project cos-cloud \
 --zone us-central1 \
 --metadata container-image=your-container-image-name \
 --tags http-server \
 --firewall-create allow-http