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To successfully deploy and manage Prisme.ai within your infrastructure, you need to ensure that your environment meets specific prerequisites related to resources, services, and configurations.

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Infrastructure Recommendations

Prisme.ai recommends the following baseline infrastructure to ensure smooth operation:
  • Nodes: At least 3 Kubernetes nodes with 4 vCPU and 16GB RAM each【40:1†source】.
  • Disk Space: Minimum 50GB recommended for persistent storage.
  • High Availability: Use managed services or clusters with redundancy capabilities.
  • Load Balancer: Ingress controller or cloud load balancer required for service routing.

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Database Requirements

Ensure the following database setups for optimal performance and reliability:
  • MongoDB:
    • Version: 6.x or newer
    • Configuration: 3-node replica set, each with at least 2GB RAM, 2 vCPU, and 1,000 IOPS【32:2†source】.
  • Redis:
    • Version: 5.x or newer
    • Configuration: Separate instances recommended for cache and broker, each with at least 3GB RAM and 2 vCPU【32:2†source】.
  • Elasticsearch/OpenSearch:
    • Version: 8.x or newer
    • Configuration: 3-node cluster, each node with 16GB RAM and 4 vCPU【32:3†source】.

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AI Products requirements

AI Products installation also require a vector Database which can be :
  • Opensearch : Can be the same cluster as above, or a separated one
  • Redis Stack : Redis 5.x+ with JSON and SEARCH modules, 3-node cluster with 5GB RAM and 2 vCPU each

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Storage and Filesystems

Prisme.ai requires either a file or object storage for models & file uploads :
  • RWX Filesystem: RWX volume with at least 50GB capacity, attached to a Kubernetes Persistent Volume Claims (PVC)
  • S3-Compatible Storage
  • Azure Blob Storage
  • Google Cloud Storage

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AI Products requirements

AI Products installation also require a RWX filesystem

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Networking and DNS

DNS configuration requirements:
  • Wildcard DNS: Essential for workspace routing (e.g., *.pages.yourdomain.com).
  • Dedicated DNS: Required for API (api.yourdomain.com) and Studio (studio.yourdomain.com)【40:2†source】.
In case wildcards DNS can’t be setup and AI Products need to be installed, the following DNS must be created :
  • ai-knowledge.pages.yourdomain.com
  • ai-knowledge-chat.pages.yourdomain.com
  • ops-manager.pages.yourdomain.com
  • teams-service.pages.yourdomain.com
  • ai-collection.pages.yourdomain.com
  • ai-insights.pages.yourdomain.com
However, other custom workspaces won’t be able to have their web pages reachable

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Offline environments

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AI Products requirements

AI Products installation in offline environments require :
  • A npm registry reachable from the cluster
  • If using internal / self-signed TLS certificates, they must be configured inside almost all microservices to avoid HTTPS errors
See AI Products requirements for more details

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Authentication (SSO)

Prisme.ai supports multiple Single Sign-On (SSO) options:
  • OIDC Providers: Compatible with Google, Azure, and other generic OIDC providers【35:1†source】.
  • SAML Providers: Supported with HTTP-POST binding (e.g., Okta).
  • Configuration: Managed via authProviders.config.yml for easy integration.
See SSO configuration documentation Before going live, perform tailored load tests considering:
  • Interactions per user: 4-10 per session.
  • Simultaneous users: Support for 100 new users per second.
  • API response time: Target 478 ms P95 for the first token using OpenAI API【32:1†source】.

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Next Steps

Architecture

Explore detailed architectural diagrams and service relationships.

Cloud Providers

Learn about deploying Prisme.ai on AWS, Azure, GCP, and OpenShift.

Docker Deployment

Set up and configure Docker-based deployments.

Kubernetes Deployment

Understand Kubernetes deployments using Helm and operators.
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