Technical Architecture

Cognitora is a cloud-native infrastructure platform designed specifically for AI agents. Our architecture prioritizes security, performance, and scalability to provide a reliable execution environment for autonomous AI workloads.

Core Architecture

Cognitora runs on Google Cloud Platform and uses a microservice architecture with the following key components:

• API Gateway: Single entry point for all AI agent requests, handling authentication and routing
• Control Plane: Orchestrates workload execution and manages system resources
• Worker Nodes: Secure execution environments using Firecracker microVMs and Kata Containers
• Data Layer: PostgreSQL database and Redis cache for persistent storage and session management

Key Technologies

Firecracker microVMs: Lightweight virtualization technology providing hardware-level isolation for each workload, ensuring security and performance.

Kata Containers: Container runtime that combines the speed of containers with the security of virtual machines.

Google Cloud Platform: Cloud infrastructure providing scalability, reliability, and managed services.

Security & Isolation

Every AI agent workload runs in its own isolated microVM, providing strong security boundaries. This architecture ensures that:

• Agent code cannot access other workloads or system resources
• Resource limits are enforced at the hardware level
• Network access is controlled and monitored
• Execution environments are ephemeral and stateless

Scalability

The platform automatically scales based on demand, with worker nodes distributed across multiple availability zones for high availability and fault tolerance.