3. Modular Architecture

The RoboFlux AI platform is architected around a microservices-based modular framework, enabling independent scaling, deployment, and upgradeability of functional components. Each module communicates via lightweight, encrypted asynchronous message brokers, ensuring minimal latency and optimal throughput in distributed environments.

• Module-Oriented Abstraction: Distinct containers host the anomaly detection, pathfinding, webhook management, and report generation subsystems.

• Dynamic Service Discovery: Utilizes decentralized service registries and health-checked load balancers for operational resilience.

• Failover & Redundancy Protocols: Auto-scaling clusters and redundant instance replicas maintain system availability under load surges and partial failures.

By decoupling system functionalities into independent services, RoboFlux AI ensures ease of extensibility, continuous integration/deployment (CI/CD) pipelines, and isolated fault domains.