Google Cloud Platform provides powerful managed services ideal for deploying Prisme.ai. This guide covers recommended infrastructure, deployment steps, and best practices for self-hosting Prisme.ai on GCP.

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GCP Prerequisites

Before starting, ensure you have:

  • A GCP account with adequate permissions.
  • Google Cloud SDK (gcloud CLI) installed and authenticated.
  • Basic knowledge of Kubernetes and essential GCP services (GKE, Cloud SQL, Memorystore, Cloud Storage).

Deploy Prisme.ai leveraging these recommended GCP-managed services:

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GCP Deployment Steps

1

Create Project & Enable APIs

Create a GCP project and enable required APIs:

gcloud projects create prisme-ai
gcloud services enable container.googleapis.com \
  sqladmin.googleapis.com redis.googleapis.com file.googleapis.com storage.googleapis.com
2

Deploy GKE Cluster

Provision a Kubernetes cluster with GKE:

gcloud container clusters create prisme-ai-cluster --zone europe-west1-b
3

Provision Databases & Storage

  • Deploy MongoDB via MongoDB Atlas or self-host on GKE.
  • Set up Redis via Memorystore.
  • Provision Elasticsearch via Elastic Cloud or Kubernetes.
  • Create Cloud Storage buckets and Filestore instances.
4

Configure DNS & Networking

Set up Google Cloud DNS or external DNS:

  • api.yourdomain.com
  • studio.yourdomain.com
  • *.pages.yourdomain.com
5

Deploy Prisme.ai via Helm

Deploy Prisme.ai using Helm to your GKE cluster:

helm repo add prismeai https://helm.prisme.ai/charts
helm install prisme-core prismeai/prismeai-core --namespace prisme -f values.yaml
6

Ingress & SSL Setup

Configure Kubernetes Ingress via GKE’s built-in Ingress Controller:

kubectl apply -f ingress.yaml

Use Google-managed SSL certificates for secure HTTPS access.

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Security Best Practices

Workload Identity

  • Use GKE Workload Identity for secure and granular permissions between Kubernetes and Google Cloud services.

Private VPC

  • Configure a private VPC for your cluster.
  • Use Cloud NAT for controlled egress internet access.

Secrets & Configuration

  • Store sensitive configurations securely in Google Secret Manager.
  • Implement regular key rotation policies.

Monitoring & Logging

  • Integrate with Google Cloud Operations Suite (Cloud Monitoring and Cloud Logging).
  • Set alerts for abnormal resource usage.

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Next Steps

Helm Deployment

Deploy Prisme.ai using Helm on Kubernetes

Products Configuration

Configure your Prisme.ai AI products

Operations Management

Learn about scaling operations efficiently