gRPC
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gRPC | foundation | |
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201 | 210 | |
40,685 | 86 | |
0.8% | - | |
9.9 | 0.0 | |
about 6 hours ago | 4 months ago | |
C++ | ||
Apache License 2.0 | MIT License |
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.
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
foundation
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.
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REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.
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Gatsby tutorial: Build a static site with a headless CMS
A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.
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Rust GraphQL APIs for NodeJS Developers: Introduction
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:
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How to convert a TypeScript built-in enum to a GraphQL enum
At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.
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Embracing the Headless Channel in Xperience by Kentico
This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.
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Building a CRUD application with React, TypeScript, TypeORM, MySQL, GraphQL, and NodeJs | Part A
To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.
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Supercharging Your App Development: Unleashing the Full Potential of React Native
GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.
What are some alternatives?
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
MongoDB - The MongoDB Database
Apache Thrift - Apache Thrift
reddit-clone-with-redwoodjs
Cap'n Proto - Cap'n Proto serialization/RPC system - core tools and C++ library
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
zeroRPC - zerorpc for python
Apache Cassandra - Mirror of Apache Cassandra
rpclib - rpclib is a modern C++ msgpack-RPC server and client library
React - The library for web and native user interfaces.
nanomsg - nanomsg library
mariadb-docker - Docker Official Image packaging for MariaDB