Pusher VS ApacheKafka

Pusher Channels is a real-time notifications service that empowers developers to swiftly integrate real-time functionality, like live notifications and chat, into web and mobile apps using WebSockets. Pusher is known for reliability and scalability and is used by Buffer, GitHub, and Datadog.

Pusher

Typically, you don't do websockets. There are some great products out there that give you the same capabilities. I recently started working with Pusher for my Remix applications and am loving it!

According to Vercel's website SocketIO is NOT supported, however Pusher Channels is recommended in it's place. Not sure what it is, but it supposedly is supported by vercel and potentially can help.

Pusher is a hosted service that makes it super-easy to add real-time data and functionality to web and mobile applications. It sits as a real-time layer between your servers and your clients. Pusher maintains persistent connections to the clients — over WebSocket if possible and falling back to HTTP-based connectivity — so that as soon as your servers have new data that they want to push to the clients they can do, instantly via Pusher.

Then watchPosition from @react-native-community/geolocation is definitely the way to go. Here's a link to the example in their repo. This will constantly update the position state variable, which you can then send to a realtime service which other users are subscribed to and consuming. (Depending on your implementation, could be a websocket or some pub/sub service... I've worked with Pusher Channels before for something similar.)

An easy way to start with is to use external Pusher channels service It requires 0 devops and everything works very well, for free at least at the beginning. However, like any external service, it can't scale without paying. "Pay as you grow".

I see that NextJS now recommends a pub/sub approach Vercel Support Your client will need to subscribe to the events from a 3rd party service like Pusher Channels and the Pub should be handled by a serverless function

Centrifugo is very similar to pusher.com Channels product (https://pusher.com/channels) – but self-hosted. Also – somewhat similar to socket.io - but not a library, so can work with any backend. Centrifugo is pretty unique in terms of available features sum – so can't say that there is a direct analogue I've heard about - sth from one product, sth from another, sth unique. And of course there are alternatives which can do what Centrifugo can't since the market of real-time servers is quite big.

Senden an Kafka (d. h. Senden der Daten an Apache Kafka)

Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.

Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time.

*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)

RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput.

Apache Kafka is a distributed streaming platform to share data between applications and services in real-time.

also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.