#cplusplus #c #c_plus_plus #c_sharp #cross_platform #flatbuffers #go #grpc #java #javascript #json_parser #marshalling #mmap #protobuf #python #rpc #rust #serialization #serialization_library #typescript #zero_copy
https://github.com/google/flatbuffers
https://github.com/google/flatbuffers
GitHub
GitHub - google/flatbuffers: FlatBuffers: Memory Efficient Serialization Library
FlatBuffers: Memory Efficient Serialization Library - google/flatbuffers
#go #golang #microservice #architecture #web_framework #rpc #code_generation #restful_api #rpc_framework #gozero #goctl #go_zero
https://github.com/tal-tech/go-zero
https://github.com/tal-tech/go-zero
GitHub
GitHub - zeromicro/go-zero: A cloud-native Go microservices framework with cli tool for productivity.
A cloud-native Go microservices framework with cli tool for productivity. - zeromicro/go-zero
#scala #distributed_systems #finagle #http #http2 #java #memcached #mysql #redis #rpc #thrift #zipkin
https://github.com/twitter/finagle
https://github.com/twitter/finagle
GitHub
GitHub - twitter/finagle: A fault tolerant, protocol-agnostic RPC system
A fault tolerant, protocol-agnostic RPC system. Contribute to twitter/finagle development by creating an account on GitHub.
#cplusplus #c #c_plus_plus #c_sharp #cross_platform #flatbuffers #go #grpc #java #javascript #json_parser #marshalling #mmap #protobuf #python #rpc #rust #serialization #serialization_library #typescript #zero_copy
FlatBuffers is a tool that helps you store and send data efficiently across different devices and programming languages. It lets you access the data directly without needing to unpack it first, which saves time and memory. Here’s how it benefits you FlatBuffers uses less memory, making it ideal for applications where space is limited.
- **Cross-Language Compatibility** You define your data structure, generate the necessary code, and then serialize and deserialize the data easily.
- **Wide Support**: It works on many operating systems like Windows, macOS, Linux, and Android, and supports numerous programming languages such as C++, Java, Python, and more.
This makes FlatBuffers a powerful tool for developing efficient and compatible software.
https://github.com/google/flatbuffers
FlatBuffers is a tool that helps you store and send data efficiently across different devices and programming languages. It lets you access the data directly without needing to unpack it first, which saves time and memory. Here’s how it benefits you FlatBuffers uses less memory, making it ideal for applications where space is limited.
- **Cross-Language Compatibility** You define your data structure, generate the necessary code, and then serialize and deserialize the data easily.
- **Wide Support**: It works on many operating systems like Windows, macOS, Linux, and Android, and supports numerous programming languages such as C++, Java, Python, and more.
This makes FlatBuffers a powerful tool for developing efficient and compatible software.
https://github.com/google/flatbuffers
GitHub
GitHub - google/flatbuffers: FlatBuffers: Memory Efficient Serialization Library
FlatBuffers: Memory Efficient Serialization Library - google/flatbuffers
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#cplusplus #rpc
bRPC is a powerful tool for building high-performance systems using C++. It allows you to create servers that can handle multiple protocols like HTTP, gRPC, and Redis on the same port. This makes it easier and more efficient than other tools. You can use bRPC to build services for search, storage, machine learning, and more. It also supports asynchronous and synchronous requests, making it flexible. bRPC helps you get better performance and latency, and you can easily extend it with custom protocols. This makes it a great choice for building reliable and fast systems.
https://github.com/apache/brpc
bRPC is a powerful tool for building high-performance systems using C++. It allows you to create servers that can handle multiple protocols like HTTP, gRPC, and Redis on the same port. This makes it easier and more efficient than other tools. You can use bRPC to build services for search, storage, machine learning, and more. It also supports asynchronous and synchronous requests, making it flexible. bRPC helps you get better performance and latency, and you can easily extend it with custom protocols. This makes it a great choice for building reliable and fast systems.
https://github.com/apache/brpc
GitHub
GitHub - apache/brpc: brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system…
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "...
#go #dogs_over_cats #giant_robots #go #golang #grpc #hacktoberfest #microservices #nanoservices #proto #rpc
gRPC-Go is a high-performance, open-source framework for remote procedure calls (RPCs) that works well with mobile and HTTP/2. To use it, you need the latest version of Go. You can install it by adding `import "google.golang.org/grpc"` to your code and then running `go build` or `go run`. This framework helps you build fast and reliable communication between services, which is beneficial because it makes your applications more efficient and scalable. If you encounter issues due to network restrictions, you can use workarounds like setting up a VPN or using Go module replacements. Turning on logging can also help you debug any errors that occur during connection setup or usage.
https://github.com/grpc/grpc-go
gRPC-Go is a high-performance, open-source framework for remote procedure calls (RPCs) that works well with mobile and HTTP/2. To use it, you need the latest version of Go. You can install it by adding `import "google.golang.org/grpc"` to your code and then running `go build` or `go run`. This framework helps you build fast and reliable communication between services, which is beneficial because it makes your applications more efficient and scalable. If you encounter issues due to network restrictions, you can use workarounds like setting up a VPN or using Go module replacements. Turning on logging can also help you debug any errors that occur during connection setup or usage.
https://github.com/grpc/grpc-go
pkg.go.dev
grpc package - google.golang.org/grpc - Go Packages
Package grpc implements an RPC system called gRPC.
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