A C++ middleware and framework for building distributed service-oriented systems with automated threading, IPC, and location-transparent Object RPC.
Areg SDK is a C++ middleware and framework for building distributed service-oriented systems using Object RPC (ORPC). It automates threading, IPC, and service orchestration, solving the common pain points of manual concurrency management and brittle integration code in C++ projects. The framework provides location transparency, allowing services to communicate seamlessly across threads, processes, and networks without code changes.
C++ developers building scalable distributed applications, from embedded and edge AI systems to enterprise server applications, who need to manage concurrency, IPC, and service discovery efficiently.
Developers choose Areg SDK for its complete automation of infrastructure concerns, true location transparency, and integrated tooling. Unlike alternatives like gRPC or ZeroMQ, it handles not just transport but also threading, dispatch, lifecycle, and service discovery with zero configuration, significantly reducing boilerplate and accelerating development.
Distributed C++ services from embedded to enterprise
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
The framework handles thread creation, lifecycle, and message dispatch, eliminating manual synchronization code and reducing common concurrency bugs.
Services operate identically across threads, processes, and networks without code changes, enabling flexible deployment scenarios from the README examples like 03_helloservice.
Automatic service discovery and routing across threads, processes, and devices remove the need for manual configuration files or wiring.
Native distributed logging with visual analysis and per-method execution timing provides built-in performance profiling without external tools.
Requires Java 17+ to run the code generator, adding an extra toolchain prerequisite that may complicate setup for pure C++ environments.
Inter-process communication examples require manually running the mtrouter component separately, increasing deployment and debugging complexity.
As a newer framework, it has fewer integrations, community plugins, and learning resources compared to established alternatives like gRPC.
The interface-centric Object RPC model and service mesh architecture require understanding new abstractions, which can slow initial adoption.