🚀 Excited to share that I'll be speaking at #IcebergSummit2025 about building a batch-stream-unified lakehouse at Tencent using #ApacheIceberg and #ApacheAmoro! 💡 Discover how we combine Iceberg's scalable metadata with Amoro's self-optimizing capabilities.

The stateless Kafka war!

If Agent2Agent is the shared language for agents, Apache Kafka is the communication fabric that lets that language scale. 📈 Learn how to build an ecosystem where agents can share insights, get context, + coordinate in real time in Sean Falconer's 🆕 blog:

We are thrilled to announce the official release of Apache Amoro 0.8.0: 1. Unified Overview Dashboard. 2. Table Health Score System. 3. Apache Hudi Format Support. Complete release notes: github.com/apache/amoro/r… Getting started with Apache Amoro: amoro.apache.org/quick-start/

How #Geely powers its connected vehicles with EMQX + AutoMQ: #EMQX handles millions of #MQTT connections for secure, real-time vehicle data. #AutoMQ streams the data into big data platforms for analytics across sub-brands like Zeekr, Lynk & Co. 🔗 More: buff.ly/19lihdM

Last week at the Current Conference in London, I had the opportunity to engage with numerous developers curious about the differences between AutoMQ and Kafka's KIP-1150: Diskless Topics. The interest was palpable, and I'm excited to share a concise comparison of these two

🚀 Join industry leaders from AutoMQ: Cost-Effective Auto-Scaling Kafka and Decodable for an #ApacheIceberg #Meetup about the future of streaming and data lakehouses. ✅ Building #Kafka on #S3 - by Xinyu Zhou @AutoMQ ✅ CDC with #Flink & #Iceberg - by Sharon Xie 🔗 Register 👉 lu.ma/akwa6uzh 👈

🚀 Meet Qwen-Image — a 20B MMDiT model for next-gen text-to-image generation. Especially strong at creating stunning graphic posters with native text. Now open-source. 🔍 Key Highlights: 🔹 SOTA text rendering — rivals GPT-4o in English, best-in-class for Chinese 🔹 In-pixel

𝗭𝗲𝗿𝗼 𝗗𝗮𝘁𝗮 𝗟𝗼𝘀𝘀 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗠𝗤 𝗼𝗻 𝗖𝗲𝗽𝗵: 𝗦𝘁𝗿𝗲𝘁𝗰𝗵 𝗖𝗹𝘂𝘀𝘁𝗲𝗿𝘀 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗱! More clients are self-hosting AutoMQ on Ceph, demanding multi-DC resilience. Ceph Stretch Clusters deliver RPO=0 for critical streaming workloads: ✅ 𝗧𝘄𝗼

🚀 AutoMQ 1.5.0 is Here – Fully Open Source! Right before the summer peak, we’re thrilled to roll out a major release for the AutoMQ community. AutoMQ 1.5.0 – the only open-source, Kafka-compatible platform built entirely on S3 – is now GA under the Apache 2.0 license. With

Kafka vs AutoMQ — What's the difference? Kafka operates as a distributed pub-sub messaging system. Allowing applications to publish and subscribe to real-time data feeds. Its strengths? High throughput, scalability, fault-tolerance, and a mature ecosystem. But Kafka is also

If you're passionate about Java, you've probably deep-dived into the JVM—explored JIT, experimented with GC algorithms, and optimized performance to the edge. When it comes to JVM innovation, Azul stands out as a true Java enthusiast. Their advanced compiler optimizations and the

🚀 𝟯𝟬𝟬 𝗚𝗕/𝘀 𝗶𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. 𝗔𝗻𝗱 𝗪𝗵𝘆 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗔𝗿𝗲 𝗦𝘄𝗶𝘁𝗰𝗵𝗶𝗻𝗴 𝘁𝗼 𝗔𝘂𝘁𝗼𝗠𝗤. We’re proud to share that AutoMQ has officially surpassed 300 GB/s of production traffic — yes, that’s gigabytes per second, sustained. It’s a

3x faster #Kafka latency? Yep. #AzulZing + AutoMQ: Cost-Effective Auto-Scaling Kafka = ⚡ p99.99 latency: 118ms → 35ms ⚡ 36% lower CPU ⚡ 100% Kafka-compatible & cloud-native A must for real-time apps: trading, fraud detection, live dashboards. 👉 Full results: bit.ly/4mZcDtt #Java

🚀 𝗔𝘂𝘁𝗼𝗠𝗤 𝟭.𝟲.𝟬 𝗶𝘀 𝗖𝗼𝗺𝗶𝗻𝗴 — 𝗔𝗻𝗱 𝗜𝘁’𝘀 𝗔𝗯𝗼𝘂𝘁 𝘁𝗼 𝗦𝗹𝗮𝘀𝗵 𝗬𝗼𝘂𝗿 𝗞𝗮𝗳𝗸𝗮 𝗕𝗶𝗹𝗹 𝗯𝘆 𝟭𝟳𝗫 🚀 1.6.0-rc0 is now available — go grab it and feel the future of cloud-native streaming. With 𝟳,𝟬𝟬𝟬+ GitHub Stargazers and growing, AutoMQ isn’t

Exciting News! 🎉 AutoMQ is now officially integrated with Tencent Cloud Elastic MapReduce (EMR)! We are thrilled to announce that AutoMQ is now an official component of Tencent Cloud's big data platform, EMR! 🚀 This integration is a huge validation of our cloud-native