Architectural Components
Prisme.ai is composed of several critical microservices and infrastructure components:Core Services
- API Gateway: Central access point securing and routing API requests.
- Workspace Service: Manages user-defined workspaces, permissions, and metadata.
- Event Service: Handles event-driven interactions and analytics.
- Runtime Service: Executes and scales AI agents dynamically.
- Console Service: Render the studio with AI products.
- Pages Service: Renders end-user pages and can scale separately if needed.
Extended Services
- Functions Service: Allows execution of user-defined JavaScript or Python scripts.
- Crawler Service: Indexes and manages external web document content.
- Search Service: Powers internal search capabilities (Redis Stack, Elasticsearch/OpenSearch).
- Authentication Service: Manages user authentication and supports OIDC and SAML.
Databases
Prisme.ai leverages multiple specialized databases:- MongoDB/PostgreSQL (structured data): Stores structured application data, users, roles, and permissions.
- Redis (scaling): Provides caching, real-time streaming, and message brokering.
- Elasticsearch/OpenSearch (Events Store): Stores and indexes document content and analytics data.
- Redis Stack/Elasticsearch/OpenSearch (Vector Store): Manages vectorized data for AI Knowledge applications.
File and Object Storage
- Filesystem: RWX-supported Kubernetes PVC for local file storage.
- Object Storage: Compatible with S3 and Azure Blob for scalable storage of uploads, models, and documents.
Deployment Patterns
Prisme.ai architecture supports several deployment configurations:Kubernetes Deployment
Recommended for scalable and resilient deployments:- Helm Charts: Simplify Kubernetes deployments with pre-configured Helm charts.
- Operators: Advanced Kubernetes management via custom operators for automated maintenance and scaling.
Docker Deployment
Ideal for smaller, development, or test environments:- Docker Compose: Manage local or small-scale deployments using Docker Compose.
Network and Security
Security and network architecture considerations:- Ingress Controller: Required for routing traffic to services.
- Firewall and Network Policies: Recommended to secure inter-service communications.
- TLS/SSL Certificates: Essential for secure external communication and internal service interaction.
High Availability and Scalability
Ensure service continuity and scalability:- Replica Sets: Deploy multiple instances of microservices for fault tolerance.
- Horizontal Pod Autoscaling (HPA): Automatically scale services based on workload.
- Persistent Storage: Use distributed file systems or cloud storage for high availability.
Logging and Monitoring
Critical for operational oversight:- Centralized Logging: Use logging systems like ELK or Prometheus/Grafana.
- Metrics and Alerting: Monitor system health, set alerts for critical thresholds.
Architecture Diagrams
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Next Steps
Cloud Providers
Explore deployment guides for AWS, Azure, GCP, and OpenShift.
Docker Deployment
Follow instructions for Docker-based deployments.
Kubernetes Deployment
Detailed guide for Kubernetes deployment and management.
Operations
Manage updates, backups, scaling, and troubleshooting.