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really appreciate you creating and sharing these videos @Christina :)

what name of ide you are used in video?

Starts 4:36

Great demo! The latency was a bit underwhelming, but I suppose this could be mitigaged using Livekit.

Great demo Christina 🎉

Super awesome presentation strands. We're already starting to utilise Redpanda Connect 'community' processors and our devs teams are loving it. +1 for 'Redpanda managed connectors/integrations' (with the hope that open source remains at the centre of business models considerations moving forward) Thanks @Ash/@Alex for your Alex dedication @Redpanda teams for evolving the streaming processing space, where things surprisingly 'just work' :))

Can you do a slow and in-depth tutorial for us slow pandas with aws, example application in lamdba and setting up clusters, price controls etc, pretty please? I am new to event driven architecture and message streams.

yep, scylla is also faster than cassandra they said, but when i tried it, for my use case case it was 3x slower than cassandra

It looks really cool. I'd like to see more comparison videos with Kafka Connect and other bullets 👏

Amazing book guys - Fundamentals of Data Engineering! Loved it. I think this is the only book which truly captures this area. There is lots of confusion among people who been in this field for a long time but struggle to find direction in vast variety of toolset. This definitely brings back clarity and helps bridge concepts to tools

This was really interesting. I worked through the workshop. The Instruqt experience is well done, and the content is very interesting. Thanks!

Darran Cooke led me here. I was preparing a new project that requires Consumer Groups with Redpanda cluster.

Very cool

Give this man a high quality microphone please

Nice information. I loved your book “Fundamentals of Data Engineering“ 😊. Thanks to Redpanda for providing it.

Thank you again for real time question answering during webinar 👍

Good stuff!!!!!

Thumbs up for another incredible upload!

Beautifully explained <3

For me WASM transformations that can only do stateless is a non starter for me. I tend to need _some_ stateful transformations, and if it means that I’ll need to use Flink anyway, Flink can also do the stateless ones. Is there a roadmap for ‘stateful WASM transformations’ or is there a space where that gets publicly discussed?

Please - who did the voiceover? I'm asking for a friend. 😅

40:32 Not touching the first wave of Kubernetes management tools, aka Teraform, with a stick in my life anymore. ArgoCD is part of the modern stack, and if we talk about “using the tools that are popular”, than we would be using Apache Kafka, not considering a rather new and not yet popular tool like Red Panda. So the Moderator here (the Lady), did a great job mirroring public perception and considering where the puck goes community wise.

Awsome explanation, tks!

✌️

These videos are so great! Thank you 💜💜💜

interesting video 👍

I have configured redpanda with rook-ceph in K8s cluster.

I recall that Zookeper has been removed from Kafka. Am I correct?

Informative

What software do you use to draw your presentation?

Best engineers and best team !!!! Go guys

Nice tutorial. I am new to Redpanda. Have configured on K8 6 wk node cluster ith the defaults settings. How to install & configure the UI in k8 cluster via helm chart. Any pointers.

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great talk

can you invest in a nicer apple pencil, this kind of unbearable drawing is hard to take it seriously..

Inspiring ♥

Nice to know...

hn8sxu vum.ong

Ah, thanks, I'm in the middle of trying to explain the simplicity advantage here myself and wasn't sure about the linear growth rate for the log-brokered approach. O(n²) -> O(n). Good point about Data Mesh using the same idea