fast-data-dev VS examples

I liked https://lenses.io/ Lots of capabilities but it's not free as I know.

Lenses

For Kafka Dev I use https://github.com/lensesio/fast-data-dev

Currently I'm using Lenses:https://lenses.io/ as UI tool, but while turning on kafka-start-server server.properties and launch the UI on localhost, it failed to connect:

Oh thats sad to hear ... lenses.io is so powerful I am not sure how I would have gotten by to this point without it!

In Addition to the more critical replys from others, why Kafka still makes sense imo: - you could organist everything with custom pipeline/services at your scale. The cost of maintaining those and keep the technology up to date is growing exponentially with every new Service. Kafka offers ansinge Plattform with a couple components which need to be kept up to date. - deploying, managing and monitoring those service is also a big task and does not come for free. - unless your using Kubernetes underneath, scaling is not easy with services. - peer to peer communications of microservices should be avoided because your building a „deathstar“-like architecture where everything is linked and effectively you’ll end up with a distributed monolith. A message broker or message queue helps to avoid this, Kafka is a good tool for that. - I heard that those aws Kafka replacements are not 100% Kafka as one might expect, you should be careful there. But confluent or other providers probably offer hosted solutions on aws too. - https://lenses.io/ helped us a lot when we started with Kafka to see how everything works together, create stream processor’s with sql and easily deploy Kafka connect workers. The tool costs money though but is worth it in the end in my opinion. (Disclaimer: I don’t work for confluent or lenses, we’re running open source Kafka with strimzi and lenses)

https://github.com/lensesio/fast-data-dev is a really cool option for a Kafka development environment based on docker and/or kubernetes.

Yes: - https://lenses.io/ (use the Lenses box, it’s free) - https://github.com/lensesio/fast-data-dev - https://github.com/provectus/kafka-ui

Relevant: - Suggested Enhancements to Python Producer Example

If you'd like to get a better idea of how it works when implemented in code, there are some sample repositories here https://github.com/confluentinc/examples/

Spend some time on https://developer.confluent.io , especially https://developer.confluent.io/get-started/java/ and look at https://github.com/confluentinc/examples . Those will give really practical examples for how to set up your configs and start consuming

The examples git repo has a great working producer and consumer. https://github.com/confluentinc/examples

Digging into this a bit, I guess the fastest way would be to use librdkafka via Dart FFI. It's what Confluent uses in their Node.js example. That way you only have to worry about the FFI parts.