ringpop-go
grpc-go
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ringpop-go | grpc-go | |
---|---|---|
86 | 29 | |
814 | 19,870 | |
0.5% | 1.4% | |
0.0 | 9.6 | |
8 months ago | 1 day ago | |
Go | Go | |
MIT License | 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.
ringpop-go
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Level Up Your Web App with Stunning React Charts: Introducing the Top 10 React Charts Libraries
React-vis is a user-friendly React visualization library that adheres to the core principles of React development. It seamlessly integrates with other React components, allowing you to work with it effortlessly. With properties, children, and callbacks, React-vis components can be easily composed, making it accessible even to React beginners. It was created by Uber and built with React and D3.
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Reliable Microservices Data Exchange With Streaming Database
Ride-hailing services are where a customer orders the ride from a ride-hailing platform. The best-known such services are Uber, Lyft, and Bolt.
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Waymo, Uber team up for large-scale self-driving tech
Two of the world’s leading mobility service providers, Waymo and Uber, have announced a strategic partnership to integrate Waymo’s state-of-the-art autonomous driving technology into Uber’s vast ridesharing and delivery networks. This ambitious venture is set to launch later this year, beginning in Phoenix, and is likely to significantly shift how we perceive and utilize ridesharing services.
- Taxie Rides in Fresno
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Node.js use cases: When is it worthy to use node.js for developing apps??
Successful organizations leveraging Node.js include PayPal, Netflix, Trello, LinkedIn, Uber, NASA, Walmart, Twitter, eBay, and GoDaddy. Let us explore the different industries where Node.js use cases work for offering effective results.
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What happens if you don't have a car or any transportation to get to drills?
www.uber.com
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I need somebody to help take me to UPMC East for an outpatient procedure tomorrow
They can definitely help.
- MPD officer's squad car hit by drunk driver while responding to OWI
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Vercel vs Netlify: Battle of the Jamstack Giants
The platform’s prominent clients include Meta, McDonald’s and Uber.
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Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
Whereas, Real-time processing involves persistently storing data as it comes in through events in real-time. For example, Companies like Uber and In-Drive use GPS trackers in their fleets of vehicles. Every vehicle’s location, speed, and other data are constantly being sent to a centralized server by the GPS units installed in them. So, the real-time processing system set up by these companies analyzes the data from the GPS units in near real-time. This information is used to give passengers up-to-date updates on things like vehicle locations and expected arrival times.
grpc-go
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Reverse Engineering Protobuf Definitions from Compiled Binaries
The reflection service is open-sourced (at least for some sdks):
* https://github.com/grpc/grpc-go/blob/master/Documentation/se...
* https://chromium.googlesource.com/external/github.com/grpc/g...
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gRPC Name Resolution & Load Balancing on Kubernetes: Everything you need to know (and probably a bit more)
We’re hoping to make this rate at least optional via this pull request but as the time of writing this blog, it’s nothing we can do to circle our way around it.
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Full Stack Forays with Go and gRPC
First, I started with gRPC’s recommended starter repository for learning gRPC, their **helloworld **example, which is a part of the official gRPC repository.
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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
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Curl 8.0.1 because I jinked it
If you read the first comment, you’ll see the API was documented as being experimental.
https://github.com/grpc/grpc-go/issues/3798#issuecomment-670...
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When is go not a good choice?
The lack of this analysis still results in bugs and CVEs. See how many races are found and fixed in gRPC releases: https://github.com/grpc/grpc-go/releases (search "race"). It's a shame Google does not publish these as CVEs, because many of them qualify.
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Rust for backend. Is it recommended?
I like to point people at this release to show that not even Google -- in its own language on its own library for its own RPC protocol -- can write thread-safe Go, so what chance does anyone else have. Maybe we have to stop thinking of Go as a language for mission critical parallel computing and think of it more like a Python 4 made for low-risk prototyping. Mature libraries help for that prototyping, you know how to put them together and get something working, that something just won't be scaleable, efficient, or thread-safe.
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Partially-Implemented Interfaces in Go
I first learned about this technique when gRPC generated code started using it. See the short readme and the long issue discussion. I think a lot more of the rationale from the discussion should have made it into the readme, since this is the only time most Go developers will ever see this technique used, especially since it can't be retrofitted to existing interfaces without breaking existing implementations.
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goRPC or gRPC?
I don't have any experience with goRPC (I'm assuming you're referring to https://github.com/valyala/gorpc), but just to note that that repo hasn't been updated in 7 years and has open issues that are that old, too. https://github.com/grpc/grpc-go has 17.5k stars and is actively maintained. That doesn't say anything about their relative performance - goRPC might be faster - but you probably won't have a fun time if you run into issues.
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Golang is evil on shitty networks
Found the root cause from https://github.com/grpc/grpc-go/commit/383b1143 (original issue: https://github.com/grpc/grpc-go/issues/75):
// Note that ServeHTTP uses Go's HTTP/2 server implementation which is
What are some alternatives?
raft - Golang implementation of the Raft consensus protocol
rpcx - Best 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! build for cloud!
serf - Service orchestration and management tool.
validator - :100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving
Olric - Distributed in-memory object store. It can be used as an embedded Go library and a language-independent service.
go-zero - A cloud-native Go microservices framework with cli tool for productivity.
redis-lock - Simplified distributed locking implementation using Redis
go-micro - A Go microservices framework
DHT - BitTorrent DHT Protocol && DHT Spider.
Echo - High performance, minimalist Go web framework
go-doudou - go-doudou(doudou pronounce /dəudəu/)is OpenAPI 3.0 (for REST) spec and Protobuf v3 (for grpc) based lightweight microservice framework. It supports monolith service application as well.
KrakenD - Ultra performant API Gateway with middlewares. A project hosted at The Linux Foundation