Centrifugo
Redis
Centrifugo | Redis | |
---|---|---|
31 | 32 | |
7,924 | 19,322 | |
1.4% | 0.9% | |
8.9 | 8.8 | |
6 days ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | BSD 2-clause "Simplified" 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.
Centrifugo
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WebSockets vs. Server-Sent-Events vs. Long-Polling vs. WebRTC vs. WebTransport
Hello, I am author of https://github.com/centrifugal/centrifugo. Our users can choose from WebSocket, EventSource, WebTransport (experimental stabilize in the future). WebRTC is out of scope as the main purpose is central server based real-time json/binary messaging, and WebRTC makes things much more complex since it shines for peer-to-peer and rich media communications.
What I'd like to add is that Centrifugo also supports HTTP-streaming – not mentioned by the OP – but this is a transport which has advantages over Eventsource - like possibility to send POST body on initial request from web browser (with SSE you can not), it supports binary, and with Readable Streams browser API it's widely supported by modern browsers.
Another thing I'd like to mention about Centrifugo - it supports bidirectional WebSocket fallbacks with EventSource and HTTP-streaming, and does this without sticky sessions requirement. I guess nobody else have this at this point. See https://centrifugal.dev/blog/2022/07/19/centrifugo-v4-releas.... Which solves one more practical concern. Sticky sessions is an optimization in Centrifugo case, not a requirement.
If you are interested in topic, we also have a post about WebSocket scalability - https://centrifugal.dev/blog/2020/11/12/scaling-websocket - it covers some design decisions made in Centrifugo.
- Centrifugo v5.1.0 released, with new powers for real-time messaging tasks, now with proxy GRPC subscription streams – similar to WebSocketd but over the network
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Integrating websockets into my current app
Check out https://github.com/centrifugal/centrifugo - it was initially designed to be a standalone language-agnostic real-time messaging server. So it may be used with Django without radical change in the existing application and using ASGI. It can also provide a much better performance if you care about it.
- Millions of Active WebSockets with Node.js
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Show HN: DriftDB is an open source WebSocket back end for real-time apps
https://github.com/centrifugal/centrifugo
It's a complete solution, including server, admin panel and client library.
We're an European company and use OVH, Hetzner and others.
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Laravel Websockets vs Soketi vs Laravel Echo Server
Hello! Theoretically you can take a look at https://github.com/centrifugal/centrifugo - which is a standalone self-hosted real-time messaging server. It does not have native support for Laravel and not compatible with Pusher protocol, though integrating with any backend system, including Laravel: see the blog post https://centrifugal.dev/blog/2021/12/14/laravel-multi-room-chat-tutorial, also has some helper packages:
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Is Python a good option to implement Websockets?
Hello, it's also possible to design an app in a way that its core will be built with Python, but WebSocket part delegated to something external and efficient like https://github.com/centrifugal/centrifugo – the benefit of the approach is that application business logic is completely decoupled from the real-time transport layer. This may lead to a scalable design with graceful degradation. I think this is especially useful when you already have backend built with Django and need to handle millions of concurrent connections.
- Centrifugo – real-time messaging server (WebSocket, etc.) which scales well and integrates with any backend. SDKs for browser and mobile development included
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What is the coolest Go open source projects you have seen?
Centrifugo https://centrifugal.dev/ https://github.com/centrifugal/centrifugo
- Golang updating the front-end with almost real-time events from the backend server
Redis
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Using IAM authentication for Redis on AWS
MemoryDB documentation has an example for a Java application with the Lettuce client. The process is similar for other languages, but you still need to implement it. So, let's learn how to do it for a Go application with the widely used go-redis client.
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Unexpected behavior from Redis cluster client - Keys not being found even if they exist in the cluster
We have setup a redis cluster with 3 master, and 3 slave nodes using redis-go package (https://github.com/redis/go-redis).
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Building RESTful API with Hexagonal Architecture in Go
For building the RESTful Point of Sale service API, I've considered and selected a combination of technologies that would work seamlessly together. For handling HTTP requests and responses, using the Gin HTTP web framework would make sense because I think it seems complete and popular among Go community too. To ensure data integrity and persistence, I'm using PostgreSQL database with pgx as the database driver, the reason I choose PostgreSQL because it is the most popular relational database to use in production and offers efficient Go integration. I'm also implementing caching using Redis with go-redis client library, which provides powerful in-memory data storage capabilities.
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Authentication system using Golang and Sveltekit - Initialization and setup
Following the completion of the series — Secure and performant full-stack authentication system using rust (actix-web) and sveltekit and Secure and performant full-stack authentication system using Python (Django) and SvelteKit — I felt I should keep the streak by building an equivalent system in PURE go with very minimal external dependencies. We won't use any fancy web framework apart from httprouter and other basic dependencies including a database driver (pq), and redis client. As usual, we'll be using SvelteKit at the front end, favouring JSDoc instead of TypeScript. The combination is ecstatic!
- Go linter and helper for the OpenTelemetry SDK
- Redis with golang
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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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Should I reuse the connection on Redis or close it after every use?
Asynq uses https://github.com/go-redis/redis in order to connect to Redis. Whenever you create a client using go-redis, the client internally manages a connection pool, so when you need to execute a command in Redis the client just retrieves a connection from the pool and uses it. After using it, the connection is released and it goes back to the pool (no need to say that the Redis client is thread-safe).
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a tool for quickly creating web and microservice code
Caching component go-redis ristretto
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Storage Layer 📦
First thing first, we will install Redis client for Golang
What are some alternatives?
Socket.io - Realtime application framework (Node.JS server)
redigo - Go client for Redis
NATS - Golang client for NATS, the cloud native messaging system.
riot - Go Open Source, Distributed, Simple and efficient Search Engine; Warning: This is V1 and beta version, because of big memory consume, and the V2 will be rewrite all code.
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client
Hiredis - Minimalistic C client for Redis >= 1.2
Mercure - 🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
mongo-go-driver - The Official Golang driver for MongoDB
laravel-websockets - Websockets for Laravel. Done right.
Go-NATS-Streaming-gRPC-PostgreSQL - Go Nats Streaming gRPC PostgerSQL emails microservice
soketi - Next-gen, Pusher-compatible, open-source WebSockets server. Simple, fast, and resilient. 📣
mgo - Go Doc Dot Org