Xiaorui Wang (@vintagewang) 's Twitter Profile
Xiaorui Wang

@vintagewang

AutoMQ Co-founder & CEO. Founder & PMC Chairman of Apache RocketMQ. Previously @alibaba_cloud. Leading messaging and streaming into the cloud-native era.

ID: 374425012

linkhttps://www.automq.com calendar_today16-09-2011 09:05:52

9 Tweet

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Xinyu Zhou @AutoMQ (@xinyubest) 's Twitter Profile Photo

Share the cloud-native technologies currently employed or planned by AutoMQ(github.com/AutoMQ/automq): 1. Spot Instances(aws.amazon.com/ec2/spot/): Offload storage to EBS and S3, and make the broker stateless to leverage Spot Instances for up to 90% cost savings. 2.

Xinyu Zhou @AutoMQ (@xinyubest) 's Twitter Profile Photo

A basic GIF illustrates the primary data flow of AutoMQ(github.com/AutoMQ/automq): 1. Data is first saved directly to EBS WAL(only 2GiB volume for each broker), with EBS inner replication ensuring durability. 2. The data is then asynchronously transferred to object storage. 3.

Kaiming @ AutoMQ (@wan0573) 's Twitter Profile Photo

Tiered Storage won’t fix Kafka, but AutoMQ’s shared storage does. Both statelessness and low latency are achieved. WarpStream Confluent #kafka #streaming

Tiered Storage won’t fix Kafka, but AutoMQ’s shared storage does. Both statelessness and low latency are achieved.   <a href="/warpstream_labs/">WarpStream</a> <a href="/confluentinc/">Confluent</a> #kafka #streaming
Xinyu Zhou @AutoMQ (@xinyubest) 's Twitter Profile Photo

EBS(Elastic Block Store) is frequently misconceived as a Local Disk. However, EBS not only incorporates a multi-replica system but can also be utilized as fully-fledged shared storage via Multi-Attach and NVMe technologies. See github.com/AutoMQ/automq for how to leverage the

Xinyu Zhou @AutoMQ (@xinyubest) 's Twitter Profile Photo

This is cool, Azure has canceled the cross-AZ data transfer costs : azure.microsoft.com/en-us/updates/… In fact, AutoMQ's(github.com/AutoMQ/automq) shared storage architecture can also completely eliminate cross-AZ replication traffic fees, just like WarpStream, but we rarely market this

Xinyu Zhou @AutoMQ (@xinyubest) 's Twitter Profile Photo

🔄 Dive into the revolution of #AutoMQ, a cloud-native alternative to Apache Kafka, reshaping the future of data architectures: dev.to/automq/introdu… 1️⃣ Shared Nothing: Kafka's initial approach, marking the dawn of stream storage. 2️⃣ Shared Storage: AutoMQ's current state,

🔄 Dive into the revolution of #AutoMQ, a cloud-native alternative to Apache Kafka, reshaping the future of data architectures:

dev.to/automq/introdu…

1️⃣ Shared Nothing: Kafka's initial approach, marking the dawn of stream storage.
2️⃣ Shared Storage: AutoMQ's current state,
AutoMQ: Cost-Effective Auto-Scaling Kafka (@automq_lab) 's Twitter Profile Photo

StarRocks is a cutting-edge analytical data warehouse which supports multidimensional, real-time, and high-concurrency data analysis. The article delves into leveraging StarRocks Routine Load to seamlessly import real-time data from AutoMQ, facilitated by Apache Kafka

StarRocks is a cutting-edge analytical data warehouse which supports multidimensional, real-time, and high-concurrency data analysis. The article delves into leveraging StarRocks Routine Load to seamlessly import real-time data from AutoMQ, facilitated by Apache Kafka
Xinyu Zhou @AutoMQ (@xinyubest) 's Twitter Profile Photo

(1/7) 🚀 Excited to officially introduce AutoMQ: a cloud-native replacement for Apache Kafka! 🌐 The evolution of the streaming world can be summarized in three stages: 1️⃣ Kafka is the beginning (2011~): Kafka started it all in 2011, quickly becoming the de facto standard. 2️⃣

(1/7) 🚀 Excited to officially introduce AutoMQ: a cloud-native replacement for Apache Kafka! 🌐

The evolution of the streaming world can be summarized in three stages: 

1️⃣ Kafka is the beginning (2011~): Kafka started it all in 2011, quickly becoming the de facto standard. 
2️⃣