Prisme.ai can be effectively deployed on AWS, leveraging managed services to ensure scalability, high availability, and operational simplicity. This guide provides step-by-step instructions and best practices to deploy Prisme.ai on AWS infrastructure.

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Prerequisites

Before you begin deploying Prisme.ai on AWS, ensure you have the following:

  • AWS Account with sufficient permissions to create and manage cloud resources.
  • AWS CLI installed and configured on your local machine.
  • Basic familiarity with Kubernetes and AWS services (EKS, RDS, S3, Elasticache).

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AWS Resources Setup

Deploy Prisme.ai using the following recommended AWS-managed resources:

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Step-by-Step Deployment Guide

1

Set up EKS Cluster

Set up a Kubernetes cluster using the EKS CLI or AWS Management Console:

eksctl create cluster --name=prisme-ai --region=eu-west-1
2

Deploy Managed Databases

Provision databases and storage:

  • RDS (DocumentDB or self-managed MongoDB)
  • OpenSearch Cluster
  • Redis via ElastiCache
  • S3 buckets and EFS volumes
3

Configure DNS and Networking

Configure your Route 53 domains for the following:

  • API: api.yourdomain.com
  • Console: studio.yourdomain.com
  • Pages: *.pages.yourdomain.com
4

Deploy Prisme.ai via Helm

Use Helm to deploy Prisme.ai into your Kubernetes cluster:

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

Ensure your values.yaml is correctly updated with your AWS resources’ endpoints and credentials.

5

Configure Ingress and TLS

Use AWS Load Balancer Controller and ACM for SSL/TLS certificates to secure your deployment and route external traffic:

kubectl apply -f ingress.yaml
6

Test and Validate

Perform initial health checks:

kubectl get pods -n prisme
kubectl logs <pod-name> -n prisme

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Security Best Practices

IAM Role Management

  • Use IAM roles for service accounts (IRSA) for secure, fine-grained Kubernetes-to-AWS permissions.
  • Regularly audit roles and permissions.

Network Isolation

  • Deploy within private subnets and secure via VPC and security groups.
  • Use NAT gateways for controlled internet access from private networks.

Secrets Management

  • Leverage AWS Secrets Manager or HashiCorp Vault for managing sensitive configuration.
  • Regular rotation of database passwords and API keys.

Monitoring and Auditing

  • Enable AWS CloudTrail, Amazon CloudWatch, and Prometheus/Grafana for comprehensive monitoring.
  • Set up alerts for unusual activities or resource consumption.

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Next Steps

Kubernetes with Helm

Deploy Prisme.ai with Helm on Kubernetes

Products Configuration

Configure Prisme.ai AI products

Operations

Learn how to manage operations efficiently

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