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areg-sdk

Apache-2.0C++v1.5.0

A C++ middleware and framework for building distributed service-oriented systems with automated threading, IPC, and location-transparent Object RPC.

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357 stars138 forks0 contributors

What is areg-sdk?

Areg SDK is a C++ middleware and framework that simplifies building distributed, service-oriented systems. It solves the common problems of manual threading, IPC complexity, and brittle integration code by automating communication through Object RPC and providing a self-managing service mesh. It enables developers to create scalable applications that run consistently from embedded devices to enterprise servers without code rewrites.

Target Audience

C++ developers building concurrent, distributed, or service-oriented applications, particularly those working on embedded systems, edge AI, IoT, or Industry 4.0 solutions who need reliable IPC and threading automation.

Value Proposition

Developers choose Areg SDK for its complete automation of threading, IPC, and service discovery, eliminating boilerplate and manual configuration. Its unique Object RPC model provides true location transparency, allowing the same service code to run across threads, processes, and networks without changes, coupled with integrated observability and fault tolerance.

Overview

Distributed C++ services from embedded to enterprise

Use Cases

Best For

  • Building modular AI pipelines for edge devices where stages like data capture, inference, and decision-making run as independent services.
  • Creating IoT mist-to-cloud architectures that process data locally before sending insights to reduce latency and cloud costs.
  • Developing simulation and testing environments for service-oriented systems without requiring physical hardware.
  • Implementing driverless device architectures where hardware is exposed as portable, network-accessible services.
  • Designing flexible smart manufacturing systems (Industry 4.0) with reconfigurable production lines and digital twin integration.
  • Coordinating concurrent processes in resource-constrained embedded systems with automated threading and fault recovery.

Not Ideal For

  • Projects requiring immediate real-time operating system (RTOS) support, as it's only planned for future releases.
  • Web service development or applications built primarily with non-C++ stacks like Python or JavaScript.
  • Teams preferring minimal, header-only libraries who want to avoid a full framework with runtime components.
  • Scenarios demanding manual control over threading and IPC for fine-tuned, low-level performance optimizations.

Pros & Cons

Pros

Automated Threading Management

Handles thread creation, lifecycle, and message dispatch automatically, eliminating manual synchronization code as highlighted in the Automated Threading Management feature.

Location-Transparent Services

Services work identically across threads, processes, and networks, allowing deployment changes without code rewrites, demonstrated in the Location-Transparent Services section.

Integrated Observability

Provides built-in distributed logging with visual tools and per-method timing for profiling, mentioned in Native Observability.

Self-Managing Service Mesh

Enables automatic service discovery and routing without configuration files, as described in the Self-Managing Service Mesh capability.

Cons

Java Dependency for Codegen

Requires Java 17+ to run the code generator, adding an extra toolchain dependency that complicates the build setup.

No Current RTOS Support

Lacks support for real-time operating systems like Zephyr OS, which is only on the roadmap, limiting use in time-critical embedded applications.

Framework Lock-in Risk

Adopting the Object RPC model ties your codebase to Areg's architecture, making migration to other systems potentially difficult without significant refactoring.

Open Source Alternative To

areg-sdk is an open-source alternative to the following products:

g
gRPC
ZeroMQ
ZeroMQ

ZeroMQ is a high-performance asynchronous messaging library designed for distributed and concurrent applications, providing socket-like APIs for various messaging patterns.

D
DDS

DDS (Data Distribution Service) is a middleware protocol and API standard for real-time, scalable, and high-performance data exchange between distributed systems, commonly used in industrial and IoT applications.

Frequently Asked Questions

Quick Stats

Stars357
Forks138
Contributors0
Open Issues31
Last commit5 days ago
CreatedSince 2021

Tags

#realtime#iot#embedded-systems#embedded#distributed-systems#iot-framework#ipc#pubsub#cplusplus#cross-platform#concurrency#rpc#rpc-framework#edge-computing#service-mesh#cpp

Built With

C
CMake
C
C++17
J
Java

Links & Resources

Website

Included in

Readme20.7k
Auto-fetched 19 hours ago

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