ws VS gRPC

Before setting up a WebSocket server in Node.js, we need to install the necessary dependencies. Fortunately, Node.js has a vibrant ecosystem with various WebSocket libraries available. In this article, we will focus on using the popular ws library, which provides a simple and efficient WebSocket implementation for Node.js.

WS has a user base of 17.7 million people and over 20,000 forks. It also has clear and concise documentation, with examples and API references, to help developers understand how to integrate it into their projects.

In order to implement websockets, you can use a nodejs library named ws. It provides a fast and simple way to establish a websocket connection.

Next, you can use a library like chokidar to listen for changes in your source directory. Create a ws server, and whenever a file changes, send a message.

I use redis, sequelize and PG Listen/Notify via Robust Listeners with a websocket server coded in ws

With over 19k stars on GitHub and about 60 million weekly downloads on npm, ws is one of the most popular open-source libraries for real-time web application development

Nest supports 2 websocket platforms - socket.io and ws. We're going to be using socket.io.

I'm trying out Render.com as a potential replacement for Heroku to host and run my code, which uses Node, Express, and the ws package to connect a game made on Godot Engine and the webapp, using a Websocket connection. However, when I migrated the code over, I've noticed that the game lasts barely a quarter of the way before the server aborts the Websocket connection for literally no reason. I'm serious, it's what the log says:

If you want to learn more about WebSockets, check out the official documentation.

Making use of Web Sockets to improve server communication.

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.

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.

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.

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 .

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.

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.

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>

Even in the https://grpc.io blog says this

gRPC