Explore tweets tagged as #KafkaStreams
Choosing the right #StreamProcessing framework is key for modern data architectures. #ApacheFlink vs #ApacheSpark — both powerful, but different. Great breakdown by @Decodableco attached. Also consider #KafkaStreams for lightweight, Kafka-native apps.
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How @responsive_apps async processor redefines the scalability limits of @kafkastreams in 20 seconds
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Viktor Gamov (@gAmUssA) from @confluentinc unpacked the challenge of querying real-time streams and how tools like Iceberg, Flink, Pinot, and Kafka fit into the puzzle. Thanks to everyone who came out to the NYC Apache Iceberg Meetup!. #ApacheIceberg #Confluent #KafkaStreams
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The recording of my #current2024 talk about redefining the limits of @kafkastreams is available to view. The talk shares a blueprint for achieving 99.99%+ uptime with 100k events/s and terabytes of state for your Kafka Streams applications. 👉
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🚨New Video Alert!🚨. #kafkaStreams and 🦦🦦🦦 go hand-in-hand. We know that. But how deep does it go? 🤔. Join @BleeGoldman at #current24 to see the similarities between the two (and get a survey of future #apacheKafka KIPs for the project, as well)!
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I'm excited to share that Kafka Streams in Action 2nd edition has arrived! Hopefully, it will be a useful resource for people interested in developing stream-processing applications. @kafkastreams @apachekafka
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Is #ApacheFlink overkill for stateless #StreamProcessing and simple #ETL?. Often yes—unless you’re using a serverless #SaaS. With auto-scaling & pay-as-you-go pricing, even small workloads make sense. Tool choice matters: #KafkaStreams or Flink?.
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Meetup @codeursenseine sur @kafkastreams par Paul Le Guillou de @BforBank chez @Zone01Rouen #rouen #Normandie #tech #java #kafka #streaming #data
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Curious on how to create an application with #kafkastreams? Just like the #java Streams API, it's very powerful (and functional) 👏 Want to send a single message? We will create also some producers and consumers!. Join me the 21 of March 17:00 at @JavaLandConf in room Quantum 1+2
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It was so much fun to observe the @responsive_apps .team brainstorm distributed state snapshots for @kafkastreams using SlateDB/RS3. Nothing beats the thrill of having a team of the best engineers solving hard problems with nothing but a whiteboard in front of them!
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🚀 Stateless vs. Stateful Stream Processing with Kafka Streams and Apache Flink 🌊. => Key differences, use cases, relation to AI/ML, and more:. #DataStreaming #KafkaStreams #ApacheFlink #RealTimeData #StreamProcessing #AI #ML #DigitalTransformation
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Counting down the clock until #KafkaSummit!. I'll be popping up all around, from my talk with @almoggavra, to the "@KafkaStreams Q&A" at the Meetup Hub, to the "Meet the Committers" panel. In between all these you can catch me at the Responsive booth: #306. Links in the thread 🦦
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I faced many naysayers 5️⃣ years ago when I wrote about remote state stores and POCed the 💡 to have #MongoDB-backed #state for #KafkaStreams. Nice to see it does work! @responsive_apps are building a production-ready solution around this.
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I will be heading to London for Kafka Summit London, 2024. For a #ThrowbackThursday I would go back to 2019 & wear a hard-to-find classic shirt. The follow-up "Streaming Things", is easier to spot. Thanks, @gAmUssA for hooking me up with this great shirt. @kafkastreams
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