Explore tweets tagged as #apacheKafka
The #ApacheKafka community released #Kafka 4.1.0 🎉 Highlights: - Preview of #QueuesForKafka (KIP-932) with stable APIs - New #KafkaStreams rebalance protocol - Better #metrics & resilience - OAuth jwt-bearer support - Multi-version #KafkaConnect plugins #OpenSource
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🕶️🤌 Nice broker you have there, it would be a shame if someone put #wasm in it In-broker #Wasm transforms in @apachekafka with #Chicory and some light low-level patching 🧐 I hope you enjoyed part 1, because this is part 2 😎 link 👇
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You're invited to the first ever Developer Day! #apachekafka A fast-paced half-day to go from Kafka basics to hands-on mastery with live Q&A support — and walk out as a certified Data Streaming Engineer. https://t.co/nBmeC3xRRW
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#FraudPrevention needs instant action. PayPal, Capital One, ING, Grab & Kakao Games use #ApacheKafka + #ApacheFlink to detect fraud in ms - processing billions of events. How are you fighting fraud? https://t.co/iNU10gLTVp
#DataStreaming #AI
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Legacy #OT #middleware is costly, rigid & batch-based. The future is open & event-driven: #ApacheKafka + #ApacheFlink + #MQTT + #OPCUA enable real-time #IIoT, AI-driven automation & predictive maintenance. Offload legacy or replace fully? https://t.co/AvHYFyLAVQ
#DataStreaming
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🚀💻Azure Data Factory Day 6 (Part II) – Understanding Triggers in ADF #dataengineering #AWS #GoogleCloudNext #100DaysOfCode #apachespark #apachekafka #developers #microsoftazure #programming #100daysofcoding #DevOps #MachineLearning #azuredatafactory
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Did you know? 🚀 #ApacheKafka isn’t just about topics anymore. With the 4.0 release, you can now use queues too! Check out our new blog post by @TinaSelenge: "Using Queues for Apache Kafka with #Strimzi" 👉 https://t.co/nD9xtTlCoY
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The @confluentinc Q3 ’25 launch is here: #StreamingAgents, cheaper #Cloud networking, new connectors, and upserts into #ApacheIceberg. Build production-ready agents natively on #ApacheKafka + #ApacheFlink -> real-time #AI without fragile integrations. #DataStreaming
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We are happy to announce the Apache Kafka 4.1.0 release! Most exciting, Queues for Kafka enters preview status, and the new “streams” rebalance protocol is available as early access. Thanks a lot to 167 contributors and our RM @MickaelMaison! https://t.co/DUiDrpIpPN
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The Easiest, Ingestion Free Model for Scaling Iceberg on Kafka #apachekafka
https://t.co/4ToUtvYpDx
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🚀💻Azure Data Factory Day 6 (Part I) – Understanding Triggers in ADF #dataengineering #AWS #GoogleCloudNext #100DaysOfCode #apachespark #apachekafka #developers #microsoftazure #programming #100daysofcoding #DevOps #MachineLearning #azuredatafactory
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AutoMQ is a diskless Kafka on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability. #apachekafka
https://t.co/BS9N81OUZt
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#ApacheKafka 4.1: The 3 Big Things Developers Need To Know #Kafka 4.1 includes something for all data-streaming enthusiasts. It addresses three areas where developers have been asking for native solutions. https://t.co/YTBQLGkScv
#Microservices
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#ApacheKafka and #ApacheIceberg have become de-facto storage platforms for Data In Motion(Streaming) and Data at Rest(Batch/Lakehouse), respectively. We are seeing unification in the storage layer with projects like @confluentinc's TableFlow, @redpandadata's Iceberg Topics and
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