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Helm simplifies managing Kubernetes applications, offering powerful templating and lifecycle management. This guide details how to deploy and manage Prisme.ai using Helm charts effectively.

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Prerequisites

Before deploying Prisme.ai with Helm, ensure:
  • Kubernetes cluster (version 1.26+) ready.
  • Helm (version 3+) installed and configured.
  • Basic familiarity with Kubernetes commands (kubectl).

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Step-by-Step Helm Deployment

1

Add Helm Repository

Add the official Prisme.ai Helm repository:
helm repo add prismeai https://helm.prisme.ai/charts
helm repo update
2

Prepare the Configuration (`values.yaml`)

Download and customize the Helm chart configuration:
helm show values prismeai/prismeai-core > values.yaml
Customize values.yaml with your specific settings:
  • Database connections (MongoDB, Redis, Elasticsearch)
  • Object storage configurations (S3-compatible storage, Azure Blob, GCS)
  • Ingress settings, SSL certificates
3

Create Kubernetes Namespace

Create a dedicated namespace for Prisme.ai:
kubectl create namespace prisme-ai
4

Install Prisme.ai via Helm

Deploy Prisme.ai using Helm into your cluster:
helm install prisme-core prismeai/prismeai-core \
  --namespace prisme-ai -f values.yaml
5

Verify the Deployment

Check pod status and ensure all components are running correctly:
kubectl get pods -n prisme-ai
kubectl logs deployment/api-gateway -n prisme-ai

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Configuration

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PostgreSQL

Compared to the MongoDB values, there are only 3 places to update for PostgreSQL, all of which are indicated by a comment including “postgresql”:

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Database permissions

Key: global.storage.permissions The driver must be set to postgresql, and the authentication URL including username and password must be provided in url (not recommended for production) or ideally in a url key (configurable via secretKeys.url) of the existingSecret. Example URL: postgres://user:[email protected]:20184/permissions?sslmode=require
The sslmode=require option is required to enforce SSL connection.

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Database users

Key: prismeai-api-gateway.storage.users Same configuration structure as global.storage.permissions - set the driver to postgresql and configure the connection URL.

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Database collections

Key: prismeai-runtime.storage.collections Same configuration structure as above - set the driver to postgresql and configure the connection URL.

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Helm Best Practices

Version Control

  • Version your values.yaml using Git for better tracking.
  • Regularly upgrade Helm releases to latest stable charts.

Secrets Management

  • Store sensitive configurations securely using Kubernetes Secrets or external secret management solutions (e.g., HashiCorp Vault, AWS Secrets Manager).

Resource Optimization

  • Define clear resource requests and limits in your Helm chart configuration.
  • Regularly review and optimize these values according to observed resource usage.

Monitoring & Alerts

  • Integrate Helm deployments with Prometheus & Grafana Operator.
  • Configure alerts for critical components of Prisme.ai.

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Common Helm Commands

  • Update repository: 
    helm repo update
  • List releases: 
    helm list -n prisme-ai
  • Upgrade release: 
    helm upgrade prisme-core prismeai/prismeai-core -n prisme-ai -f values.yaml
  • Rollback: 
    helm rollback prisme-core [revision] -n prisme-ai
  • Delete release: 
    helm uninstall prisme-core -n prisme-ai
  • Check release history: 
    helm history prisme-core -n prisme-ai
  • Debug issues: 
    kubectl describe pod <pod-name> -n prisme-ai
kubectl logs <pod-name> -n prisme-ai

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Next Steps

High Availability Setup

Configure high availability on Kubernetes

Prometheus & Grafana

Set up monitoring with Prometheus & Grafana

Product Configuration

Configure Prisme.ai AI products

Operations & Maintenance

Manage operations efficiently