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.

​
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).

​
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

​
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.

​
Common Helm Commands

​
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

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.

​
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).

​
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

​
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.

​
Common Helm Commands

​
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