FlatBuffers: Memory Efficient Serialization Library
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Updated
Aug 29, 2020 - C++
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gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services.
FlatBuffers: Memory Efficient Serialization Library
The Go language implementation of gRPC. HTTP/2 based RPC
Sample cloud-native application with 10 microservices showcasing Kubernetes, Istio, gRPC and OpenCensus.
Open-source IoT Platform - Device management, data collection, processing and visualization.
A zero cost, faster multi-language bidirectional microservices framework in Go, like alibaba Dubbo, but with more features, Scale easily. Try it. Test it. If you feel it's better, use it! 𝐉𝐚𝐯𝐚有𝐝𝐮𝐛𝐛𝐨, 𝐆𝐨𝐥𝐚𝐧𝐠有𝐫𝐩𝐜𝐱!
Instant messaging platform. Backend in Go. Clients: Swift iOS, Java Android, JS webapp, scriptable command line; chatbots
GUI Client for GRPC Services
Protocol Buffers for Go with Gadgets
A curated list of useful resources for gRPC
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
gRPC Web implementation for Golang and TypeScript
Generates a unified GraphQL schema from gRPC microservices and other Protobuf sources
How should I use alicloud MNS?
Surging is a micro-service engine that provides a lightweight, high-performance, modular RPC request pipeline. The service engine supports http, TCP, WS,Grpc, Mqtt, UDP, and DNS protocols. It uses ZooKeeper and Consul as a registry, and integrates it. Hash, random, polling, Fair Polling as a load balancing algorithm, built-in service governance to ensure reliable RPC communication, the engine contains Diagnostic, link tracking for protocol and middleware calls, and integration SkyWalking Distributed APM
Golang gRPC Middlewares: interceptor chaining, auth, logging, retries and more.
In our codebase, we push RequestContext and immediately run some code with try-with-resources.
For example:
try (SafeCloseable ignored = ctx.push()) {
logger.trace(decorate(msg));
}If RequestContext provides run(Runnable) or call(Callable) we can reduce boilerplate code and simplify it.
ctx.run(() -> logger.trace(decorate(msg));This is inspired by g
We should also hook up a grpc-go client to test the interop with the tonic server.
Currently, in https://github.com/hyperium/tonic/blob/master/interop/test.sh we only test tonic client -> grpc-go server and tonic client to tonic server. We should add an additional client test that will go from a grpc-go client to tonic server.
是否有计划用actions 完全取代 TravisCI
感觉actions 速度上比 TravisCI更好点 ,另外也是github原生的。
Type: feature request
Lightweight, fault-tolerant message streams.
Evans: more expressive universal gRPC client
a microservice framework for rapid development of micro services in Go with rich eco-system
Spring Boot starter module for gRPC framework.
Spring Boot starter module for gRPC framework.
The
TestTimeouttest is sometimes failing randomly.To Reproduce
$ go test -run TestTimeout -count 100 ./examples/internal/integrationExpected behavior
Test not to be flaky
Actual Behavior
The tests fails with an incorrect status code error:
See https://app.circle