Apache Kafka in 1 hour for C# Developers - Guilherme Ferreira - NDC London 2023

Are you curious about Apache Kafka? But you never had the time to dig into it?

No problem. In this session, we will dig into it. In under 60 minutes, we will learn basic concepts and write our first Kafka application using C# and KafkaFlow, an Open Source framework for .NET.

Even if you know nothing about it, you can expect to go home with the basics to start your Kafka journey.

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[Qrzychu]

Great talk, my mind finally clicked what kafka is, thank you!

[iamkaransethi]

Great talk, following along was so easy. Loved the bookmark example.

[ismailm]

Excellent, will definately be looking to use Kafkaflow.

[nickchapsas]

I'll have to pop out some lovesongs then

[rahullore]

Great talk! However I always get confused between Topic and Partition. My use case is, every hospital has multiple IOT devices. Every IOT device sends two sets of data points Vitals and Waveform and there are multiple devices in one hospital and there are multiple hospital. Should I creating 2 unique topic per IOT device ?

[ronenelahav]

Thanks for all the information, It was very helpful..
I have multiple scenarios where I don't know if Kafka can solve...
1. how do you update services (that use internal cache on startup) to get updates when running in case you have multiple instances? (using groupId - you will need to manage those groupIds).
2. If I will use a topic to send messages out to my clients ( I want to make sure that my client will get them.. and he isn't offline) how can you ensure that (is there a peek and ack for bulk messages by ClientId or something- that will save the order of messages for each client?

[timur]

Great, thanks! Do you have these projects on Github?

[artfulperch]

Uhg, the only useful info I get from this talk is that kafkaflow is the good way to start. But as for Kafka itself - brokers, topics, groups etc - the talk does very little in explanation and showing how messages go through the system (it would be nice to see the actual Kafka log timeline breakdown for the demo app)

[sdstorm]

Extreme red shift makes this unwatchable for me.