SentraZero

A growing class of modern products require the ability to execute dynamic workloads across distributed environments — not just predefined jobs, but user-defined logic, plugins, and data pipelines. Most systems in this space fall into two categories: rigid systems that limit flexibility, or flexible systems that compromise security and reliability. The objective was to design a system that behaves like a compute platform, not just a background job runner..

The primary challenge was not execution — it was safe, scalable, and extensible execution. This required solving: - Executing untrusted workloads without compromising system integrity - Coordinating execution across distributed agents - Enabling extensibility through a structured plugin system - Handling large-scale dataset processing - Ensuring deterministic behavior under failure conditions.

Instead of building a queue-based worker system, Relayforge designed a platform-oriented architecture with clearly separated responsibilities. **Control Plane** A centralized orchestration layer responsible for job lifecycle management, device registration and coordination, plugin registry and access control, and dataset pipeline planning. **Execution Layer** Distributed agents deployed across machines that claim and execute jobs, manage worker pools, and run workloads in controlled environments. **Plugin Runtime** A structured plugin system enabling signed plugin packages, manifest validation, version control, and sandboxed execution.

This transforms the system into an extensible platform. **Dataset Processing Engine** Chunk-based execution, parallel processing across agents, and merge orchestration pipelines enable distributed data workflows at scale..

Client → Control Plane → Job Assignment → Distributed Agents → Plugin Runtime → Dataset Pipelines Key Design Decisions: - Strict separation between orchestration and execution - Plugin-first extensibility model - Sandboxed runtime for safety - Database-driven state management - Parallel dataset processing.

The system operates as a distributed compute platform capable of: - Executing arbitrary workloads safely through sandboxing - Scaling across multiple devices via the execution layer - Supporting plugin ecosystems through the registry system - Processing large datasets efficiently with chunk-based parallel execution This project demonstrates Relayforge's ability to build distributed systems, execution engines, extensible platforms, and data processing infrastructure..