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

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Recommended Load Testing

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