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Architecture Overview

Deep dive into the Noorle Platform architecture and how components work together to deliver enterprise-grade AI agent infrastructure.

System Architecture

The Noorle Platform is built on a multi-layered architecture designed for security, scalability, and extensibility:

Noorle Platform Architecture LayersNoorle Platform Architecture Layers

Core Components

MCP Gateway

The intelligent routing layer that manages all agent interactions:

Gateway Responsibilities

  • Request Processing: Parse and validate MCP requests
  • Authentication: Verify agent identity and permissions
  • Authorization: Check access rights for requested resources
  • Rate Limiting: Enforce usage quotas and prevent abuse
  • Load Balancing: Distribute requests across available resources
  • Response Formatting: Ensure consistent response structure

Gateway Features

  • Multi-Region Deployment: Global presence for low latency
  • Auto-Scaling: Dynamic scaling based on load
  • Circuit Breakers: Automatic failure detection and recovery
  • Request Caching: Intelligent caching for repeated requests
  • Protocol Translation: Bridge between MCP and legacy protocols

WebAssembly Runtime

The secure execution environment for plugins:

Runtime Architecture

Security Boundaries

  • Memory Isolation: Each plugin has its own memory space
  • CPU Limits: Prevent runaway computations
  • Network Control: Whitelist-based network access
  • Filesystem Virtualization: Isolated virtual filesystems
  • Time Limits: Maximum execution time enforcement

Built-in Capabilities

Native platform services optimized for AI workloads:

Service Architecture

Each capability is implemented as a highly optimized service:

  • Web Services: Headless browser fleet for web operations
  • Compute Engine: Distributed compute cluster for code execution
  • Storage Layer: Object storage with intelligent caching
  • Search Infrastructure: Dedicated search indexing and retrieval

Performance Optimizations

  • Connection Pooling: Reuse connections for efficiency
  • Result Caching: Cache frequently accessed data
  • Parallel Processing: Distribute work across workers
  • Lazy Loading: Load resources only when needed

Security Architecture

Defense in Depth

Multiple layers of security protection:

Network Security

  • TLS 1.3: All communications encrypted
  • DDoS Protection: CloudFlare integration
  • IP Allowlisting: Restrict access by IP
  • Private Networks: VPC isolation for sensitive workloads

Application Security

  • Input Validation: Strict parameter validation
  • Output Sanitization: Prevent injection attacks
  • CORS Policies: Control cross-origin access
  • CSP Headers: Content security policies

Data Security

  • Encryption at Rest: AES-256 encryption
  • Encryption in Transit: TLS for all connections
  • Key Management: Hardware security modules (HSM)
  • Data Residency: Regional data storage options

Scalability Design

Horizontal Scaling

Components designed for horizontal scaling:

  • Stateless Services: No session affinity required
  • Database Sharding: Distribute data across nodes
  • Queue-Based Processing: Decouple components with queues
  • Edge Caching: CDN integration for static content

Performance Metrics

Target performance characteristics:

  • Latency: < 100ms p95 for gateway requests
  • Throughput: 10,000+ requests/second per gateway
  • Availability: 99.99% uptime SLA
  • Scalability: Auto-scale to millions of requests

Next Steps