AutoMQ | Low Latency Diskless Kafka® on S3

💥Kafka's high availability isn’t just about replicas—it’s about RTO you can actually rely on. 🔧 In this deep dive, AutoMQ shows how a single-line config can cut your Apache Kafka RTO in half, and why large clusters still hit a hard ceiling without a cloud-native, disaggregated storage-compute architecture. 👉Dive into the full breakdown : go.automq.com/how-single-lin… #Kafka #ApacheKafka #AutoMQ #CloudNative #PerformanceTuning #BestPractice #Streaming #DataEngineering

AutoMQ continues to earn top-tier industry recognition, now powering mission-critical Kafka workloads at iQIYI. From private‑cloud Kafka to hybrid cloud and now cloud‑native AutoMQ, iQIYI cut real‑time streaming infra cost by 70%+ while gaining second‑level elasticity. Read the full technical blog👉go.automq.com/iqiyi-kafka-to… #Kafka #ApacheKafka #AutoMQ #CloudNative #Streaming #DataEngineering #BestPractice #CostOptimization

🤝 Thrilled to announce! AutoMQ × Aklivity = Unlocking Cloud-Native Real-Time Data. 🎉 AutoMQ × Aklivity brings a stateless, cloud-native Kafka stack with a multi‑protocol gateway—so your Web, mobile, and IoT apps (HTTP, MQTT, gRPC, SSE) can talk to Kafka in real time, securely, and at scale. ⚙️ Think 10x cost efficiency on S3 + AsyncAPI‑driven governance at the edge. 👉 Read the full announcement：go.automq.com/automq-aklivit… 🌐 AutoMQ: go.automq.com/official?utm_s… 🌐 Aklivity: aklivity.io #AutoMQ #Aklivity #CloudNative #ApacheKafka #RealTimeData #StreamingInfrastructure

⚙️Kafka in the cloud doesn’t have to choose between low latency and low cost. AutoMQ x AWS FSxN pushes Diskless Kafka to sub‑10ms end-to-end latency at 300 MiB/s write / 1.2 GiB/s read, while keeping ~90% lower TCO vs traditional Kafka. Want to see how a next‑generation Kafka actually performs under real benchmarks? Read the full performance report 👇 🔗 go.automq.com/automq-aws-fsx… #Kafka #ApacheKafka #AutoMQ #PerformanceTuning #CloudNative #Streaming #DataEngineering #CostOptimization

🚀Kafka Connect x AutoMQ, now fully managed with Zero Cross-AZ data pipelines. We just released AutoMQ Managed Kafka Connector in BYOC, so you can spin up production-grade CDC pipelines on AWS without self-managing Connect clusters or paying the cross-AZ “tax”. Debezium, S3 Sink, unified control plane, and observability are all built in. 👇See the full breakdown：🔗go.automq.com/kafka-connect-… #Kafka #ApacheKafka #KafkaConnect #AutoMQ #CloudNative #Streaming #DataEngineering #CostOptimization

🎉 𝗔𝘂𝘁𝗼𝗠𝗤 𝗷𝘂𝘀𝘁 𝗵𝗶𝘁 𝟵,𝟬𝟬𝟬 𝗦𝘁𝗮𝗿𝘀 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯! While the excitement of hitting 8k stars is still fresh, 9k has already arrived! We are incredibly grateful for your support along this journey, empowering AutoMQ to push the boundaries of open source. Every star represents more than just a number; it’s the fuel that drives our team to keep pushing the boundaries of cloud-native data streaming. What’s new in the latest AutoMQ v8.0.2? We’ve officially launched support for 𝗔𝗺𝗮𝘇𝗼𝗻 𝗙𝗦𝘅 𝗳𝗼𝗿 𝗡𝗲𝘁𝗔𝗽𝗽 𝗢𝗡𝗧𝗔𝗣. This allows users to maintain a 𝘀𝘂𝗯-𝟭𝟬𝗺𝘀 𝗹𝗮𝘁𝗲𝗻𝗰𝘆 experience while achieving a staggering 𝟭𝟬𝘅 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗧𝗖𝗢. But we aren’t just stopping at cost and latency. We’re doubling down on:   • 🚀 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗢𝗽𝘀: We’ve significantly lowered the barrier to entry, making Kafka deployment and maintenance on the cloud more intuitive than ever.   • ☁️ 𝗧𝗿𝘂𝗲 𝗘𝗹𝗮𝘀𝘁𝗶𝗰𝗶𝘁𝘆: Scale up or down on demand. No more over-provisioning or "capacity anxiety."   • 🛠️ 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: High throughput, fewer instances. We optimize every bit of your cloud infrastructure. By staying 100% compatible with the Kafka ecosystem while adopting a Diskless architecture and leveraging Object Storage, AutoMQ is proving that you don't have to choose between performance and cost-efficiency. If you're struggling with high cloud bills, operational complexity, or the limitations of traditional Kafka scaling, it’s time to look at the next generation of infrastructure. 🚀 𝗚𝗲𝘁 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗔𝘂𝘁𝗼𝗠𝗤 (𝟮-𝗪𝗲𝗲𝗸 𝗙𝗿𝗲𝗲 𝗧𝗿𝗶𝗮𝗹): go.automq.com/home?utm_sourc… ⭐ 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗔𝘂𝘁𝗼𝗠𝗤 (𝟵𝗞 𝗦𝘁𝗮𝗿𝘀): go.automq.com/official?utm_s… 📖 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗔𝘂𝘁𝗼𝗠𝗤 𝘅 𝗔𝗺𝗮𝘇𝗼𝗻 𝗙𝗦𝘅 𝗳𝗼𝗿 𝗡𝗲𝘁𝗔𝗽𝗽 𝗢𝗡𝗧𝗔𝗣 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: go.automq.com/how-does-autom… #AutoMQ #CloudNative #Kafka #OpenSource #DataStreaming #GitHub #DisklessArchitecture

AutoMQ 8.0.2 FSx WAL Deep Dive – the tech behind our new capability. With the new AWS FSx support, you can finally run low-latency, low-cost, truly diskless Kafka on AWS without trading off performance vs cost. 🧩 FSx as shared WAL – Full writes land on FSx within the local AZ; cross‑AZ paths only carry tiny control messages to keep latency low. ⚡️ Hot FSx, Deep S3 – FSx only stores a small, fast write buffer; data is quickly offloaded to cheap S3 to minimize storage footprint and cost. Curious about the technical details behind this architecture? Read the deep dive：👉 go.automq.com/how-does-autom… #AutoMQ #AWS #FSx #ApacheKafka #DataStreaming #SystemDesign #DistributedSystems

🚀 Breaking: AutoMQ now supports AWS FSx WAL! This architecture resolves the dilemma of running Kafka on AWS: ❌ EBS: Low latency, but high Cross-AZ costs. ❌ S3-only: Cost-efficient, but high write latency. The AutoMQ x FSx Way: 📉 Latency: Sub-10ms writes via multi-AZ shared storage. 💸 Costs: Zero cross-AZ data transfer fees. ☁️ Storage: Fully backed by S3 for infinite elasticity. It's truly Cloud-Native: Performance + Low Cost. 👉Read the deep dive: go.automq.com/automq-fsx-10m… #Kafka #CloudNative #DataStreaming #AWS #FSx #AutoMQ

🚀 What if "waiting" actually makes your Kafka producer faster? 🔎For years, the “best practice” for low-latency Kafka was simple: send immediately (linger.ms=0). But Apache Kafka 4.0 redefines low-latency best practices—changing the default to linger.ms=5. 🧐Why? Because true low latency isn’t about sending faster—it’s about batching smarter. In our latest deep dive, we break down: 🔹Why 5ms of “artificial delay” often reduces end-to-end latency? 🔹How linger.ms and batch.size truly interact with Kafka’s serial request model? 🔹A scenario deduction: 27.5ms → 7.5ms avg latency — just by tweaking one config. ⚙️How AutoMQ’s pipeline architecture eliminates this trade-off entirely —Low latency without waiting. High throughput without tuning. 💡Want to uncover the real best practice for low-latency Kafka? — This is for you. 🔗Read the full in-depth analysis and scenario deductions here: go.automq.com/kafka-performa… #ApacheKafka #Kafka #AutoMQ #PerformanceTuning #DataStreaming #SystemDesign #BestPractice #CloudNative #OpenSource

🚨𝐋𝐚𝐬𝐭 𝐂𝐚𝐥𝐥: 𝐓𝐨𝐤𝐲𝐨 𝐖𝐞𝐛𝟑 𝐃𝐚𝐭𝐚 𝐌𝐞𝐞𝐭𝐮𝐩 (𝐓𝐡𝐢𝐬 𝐅𝐫𝐢𝐝𝐚𝐲!) Join us this Friday for 𝐓𝐨𝐤𝐲𝐨 𝐓𝐞𝐜𝐡 𝐌𝐞𝐞𝐭𝐮𝐩 : 𝐓𝐡𝐞 𝐍𝐞𝐱𝐭-𝐆𝐞𝐧 𝐨𝐟 𝐖𝐞𝐛𝟑 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚. Don't miss the ultimate technical deep dive in Ginza! AutoMQ, OKX, BlockSec, and NebulaGraph are uniting for an afternoon of cutting-edge insights into Graph Databases, Real-time Streaming, Compliance, and User Growth in the rapidly evolving Web3 landscape. 🗓️ Dec 12 (Fri) | 14:00 - 17:50 JST | Ginza, Tokyo 🔥 𝐏𝐨𝐰𝐞𝐫-𝐏𝐚𝐜𝐤𝐞𝐝 𝐀𝐠𝐞𝐧𝐝𝐚: 1️⃣ 𝐍𝐞𝐛𝐮𝐥𝐚𝐆𝐫𝐚𝐩𝐡: Revealing Web3's Hidden Data Links for Risk & Compliance 2️⃣ 𝐁𝐥𝐨𝐜𝐤𝐒𝐞𝐜: Building Efficient Crypto Stablecoin AML Systems 3️⃣ 𝐎𝐊𝐗 x 𝐓𝐚𝐜𝐧𝐨𝐝𝐞: From User Tagging to Real-Time Operations 4️⃣ 𝐀𝐮𝐭𝐨𝐌𝐐: Bridging Streaming & Analytics with Iceberg (S3 & Athena) 💡 𝐖𝐡𝐨 𝐬𝐡𝐨𝐮𝐥𝐝 𝐚𝐭𝐭𝐞𝐧𝐝? • Web3 & Blockchain Developers • Data Engineers & Architects • Risk & Compliance Professionals • Fintech & Crypto Security Leaders • Streaming & Graph Technology Enthusiasts 🤝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠: Exchange ideas and business cards with top builders during our coffee break. 📍 Location: 3F, GF Building, 2-14-9 Ginza, Chuo-ku, Tokyo 🎟️ 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰: go.automq.com/luma_the_next_… See you in Ginza! 🚀 #Web3 #Tokyo #DataInfra #AutoMQ #OKX #BlockSec #GraphDB #Kafka

Thinking about running Diskless Kafka in production? Here’s what you need to watch out for. 🛑 While going Diskless Kafka is becoming the industry trend for cloud-native scalability—promising massive cost savings and elasticity, however, the reality is that most current Diskless Kafka solutions force you to accept critical architectural trade-offs: 🧩 Compromised Compatibility: Rewriting the Kafka protocol entirely leads to inevitable feature lag (e.g., missing Transactions) and breaks ecosystem compatibility with your existing tools. ♟️ High Write Latency: Writing directly to Object Storage often causes P99 latency to spike to hundreds of milliseconds, making real-time performance impossible for latency-sensitive workloads. This makes real-time performance impossible for latency-sensitive workloads like microservices or finance. 🏗️ Architectural Complexity: Relying on external metadata stores (like SQL databases) or extra coordination components significantly lengthens the data write path, forcing you to manage non-Kafka infrastructure and increasing operational toil. At AutoMQ, we engineered our solution specifically to solve these hurdles without compromise. Read the full technical analysis here: 🔗go.automq.com/x-how-to-choos… #ApacheKafka #AutoMQ #SystemDesign #CloudNative #DataStreaming