areg-sdk
gRPC
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areg-sdk | gRPC | |
---|---|---|
21 | 201 | |
238 | 40,733 | |
- | 1.1% | |
8.6 | 9.9 | |
about 1 month ago | 5 days ago | |
C++ | C++ | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
areg-sdk
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Essentials of Object Oriented and Functional Programming: A Guide to Modular Code
FP Libraries: gRPC, ZeroMQ, and AREG are examples of libraries with a special focus on providing possibilities for Interprocess Communication. Developed using C++, they facilitate communication through predefined APIs, emphasizing functional programming concepts.
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How to find a suitable topic at GitHub to contribute?
In addition, if the owners of the repositories add more relevant and precise labels to the issues, it increases the possibility that the OSS developers find the issues they would loved to resolve. For example, the issues of AREG SDK which marked "help wanted" in addition have such labels like "C++" or "cmake", "unit test", etc.
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Makefile versus CMake build system
My closer introduction with these 2 tools started from OSS areg sdk project. Because of some experienced friend recommendation, i started with make. The main reason was that it is more spread in embedded. No other weighty argument they had. After having make, i decided to integrate cmake. Suddenly i figured out that cmake for me is more understandable and powerful. It already has many features that makes things easier. The biggest advantage for me is that in comparison to make / Makefile, lot of IDE support build with cmake. The cross-platform / cross-compile for areg-sdk is important feature, and this is easier to achieve with cmake. For example, I can compile with make under Linux with gcc/clang, but under windows can compile in cygwin environment and not with MSVC, which is not the issue in case of cmake.
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Your fun software projects
Project: AREG is a cross-platform interface-centric lightweight communication engine, which forms a grid of services in the IoT fog- and mist-network, automates the real-time transmission of data between multiple connected software nodes, so that the connected Things interact like a thin distributed servers and clients. Technologies: C/C++17, standard library dependencies, POSIX and Win32 API. Can be used in real product.
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How abut open source projects?
Nice. I also have own project, but it already requires much time, so that cannot join in other projects. As well, up to now have no dependencies, except standard system libraries. I think, we should have a separate post to share projects and give short description. Some might be interested to join.
- Cross-platform IPC engine that automates real-time data transmission between connected processes, allowing them to interact like a distributed services
- Distributed services programming for Embedded, IoT edge and desktop applications
- Interface-centric Object RPC (ORPC) engine for embedded and desktop
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ncurses and POSIX
Here I've crated a list of API that use in the project. Some of methods are part of ncurses.h. So I have a questions:
gRPC
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
gRPC, built on HTTP/2, inherently supports flow control. The server can push updates, but it must also respect flow control signals from the client, ensuring that it doesn't send data faster than what the client can handle.
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Reverse Engineering Protobuf Definitions from Compiled Binaries
Yes, grpc_cli tool uses essentially the same mechanism except implemented as a grpc service rather than as a stubby service. The basic principle of both is implementing the C++ proto library's DescriptorDatabase interface with cached recursive queries of (usually) the server's compiled in FileDescriptorProtos.
See also https://github.com/grpc/grpc/blob/master/doc/server-reflecti...
The primary difference between what grpc does and what stubby does is that grpc uses a stream to ensure that the reflection requests all go to the same server to avoid incompatible version skew and duplicate proto transmissions. With that said, in practice version skew is rarely a problem for grpc_cli style "issue a single RPC" usecases: even if requests do go to two or more different versions of a binary that might have incompatible proto graphs, it is very common for the request and response and RPC to all be in the same proto file so you only need to make one RPC in the first place unless you're using an extension mechanism like proto2 extensions or google.protobuf.Any.
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Delving Deeper: Enriching Microservices with Golang with CloudWeGo
While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future.
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gRPC Name Resolution & Load Balancing on Kubernetes: Everything you need to know (and probably a bit more)
The loadBalancingConfig is what we use in order to decide which policy to go for (round_robin in this case). This JSON representation is based on a protobuf message, then why does the name resolver returns it in the JSON format? The main reason is that loadBalancingConfig is a oneof field inside the proto message and so it can not contain values unknown to the gRPC if used in the proto format. The JSON representation does not have this requirement so we can use a custom loadBalancingConfig .
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Dart on the Server: Exploring Server-Side Dart Technologies in 2024
The Dart implementation of gRPC which puts mobile and HTTP/2 first. It's built and maintained by the Dart team. gRPC is a high-performance RPC (remote procedure call) framework that is optimized for efficient data transfer.
- Usando Spring Boot RestClient
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
gRPC is a high-performance, open-source RPC (Remote Procedure Call) framework initially developed by Google. It uses Protocol Buffers for serialization and supports bidirectional streaming.
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Actual SSH over HTTPS
In general, tunneling through HTTP2 turns out to be a great choice. There is a RPC protocol built on top of HTTP2: gRPC[1].
This is because HTTP2 is great at exploiting a TCP connection to transmit and receive multiple data structures concurrently - multiplexing.
There may not be a reason to use HTTP3 however, as QUIC already provides multiplexing.
I expect that in the future most communications will be over encrypted HTTP2 and QUIC simply because middleware creators can not resist to discriminate.
[1] <https://grpc.io>
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Why gRPC is not natively supported by Browsers
Even in the https://grpc.io blog says this
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SGSG (Svelte + Go + SQLite + gRPC) - open source application
gRPC
What are some alternatives?
iceoryx - Eclipse iceoryxâ„¢ - true zero-copy inter-process-communication
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
nanomsg - nanomsg library
Apache Thrift - Apache Thrift
Cap'n Proto - Cap'n Proto serialization/RPC system - core tools and C++ library
zenoh - zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.
zeroRPC - zerorpc for python
erpc - Embedded RPC
rpclib - rpclib is a modern C++ msgpack-RPC server and client library
zmesh - Marching Cubes & Mesh Simplification on multi-label 3D images.