加载中
正在获取最新内容，请稍候...
AutoMQ - A Cost-Effective, Scalable Kafka on S3
AutoMQ is a revolutionary stateless and diskless Kafka implementation built on Amazon S3. It offers significant advantages over traditional Kafka, including 10x cost-effectiveness, elimination of cross-Availability Zone traffic costs, autoscale capabilities in seconds, single-digit millisecond latency, and built-in Multi-AZ availability.
Java
Added on 2025年7月6日6,763
Stars466
ForksJava
LanguageProject Introduction
Summary
AutoMQ is an open-source project implementing a Kafka-compatible messaging service directly on Amazon S3. By being stateless and diskless, it provides a highly scalable, cost-efficient, and low-latency solution for streaming data.
Problem Solved
Traditional Apache Kafka deployments can be complex, expensive to manage due to reliance on block storage (EBS) and cross-AZ traffic, and challenging to scale dynamically. AutoMQ addresses these issues by decoupling storage from compute and utilizing cost-effective, scalable object storage (S3).
Core Features
10x Cost-Effectiveness
Achieve up to 10 times cost reduction compared to traditional Kafka deployments by leveraging the cost-efficiency of S3 storage.
No Cross-AZ Traffic Cost
Avoid expensive data transfer costs between Availability Zones by utilizing S3 as the primary storage layer.
Autoscale in Seconds
Scale your Kafka clusters automatically and rapidly, adjusting capacity within seconds based on demand fluctuations.
Single-Digit ms Latency
Experience extremely low message latency, with typical publish-subscribe delays in the single-digit milliseconds range.
Multi-AZ Availability
Inherit the high availability provided by S3, ensuring your data is durably stored and accessible across multiple Availability Zones.
Tech Stack
Java
Scala
Amazon S3
Kafka Protocol
AWS SDK
Usage Scenarios
AutoMQ is suitable for a wide range of use cases where a cost-effective, scalable, and resilient message queue is required on AWS, particularly when dealing with large volumes of data.
Large-Scale Log Ingestion
Details
Ingesting massive amounts of log data from various sources into a central processing system or data lake for analysis.
User Value
Provides a highly scalable and cost-effective way to handle peak log traffic without over-provisioning.
Cloud-Native Data Streaming Pipelines
Details
Building real-time data pipelines for analytics, machine learning, or event-driven microservices.
User Value
Offers dynamic scalability and low latency required for modern streaming applications built on AWS.
High-Volume Event Collection
Details
Collecting and processing clickstream data from websites or mobile applications for user behavior analysis.
User Value
Efficiently captures bursts of event data and stores it durably on S3 for subsequent processing.
Recommended Projects
You might be interested in these projects
acidantheraOpenCorePkg
OpenCorePkg is a modern, open-source EFI bootloader designed for realistic and flexible booting of macOS on non-Apple hardware, commonly known as Hackintosh systems, and also supports other operating systems.
C
139452156
huggingfacetext-embeddings-inference
Accelerate your natural language processing workflows with a blazing fast solution for text embeddings inference, designed for efficiency and scalability.
Rust
3764284