AutoMQ/automq-for-kafka
Automq For Kafka
AutoMQ is a cloud-native streaming platform and Kafka-compatible message broker. It implements the Kafka protocol to provide integration with existing clients and ecosystems while functioning as a message queue that persists data directly to cloud object storage.
The system decouples compute from storage, allowing processing power and storage capacity to scale independently. It utilizes a shared-log architecture and object-storage-based persistence to remove dependencies on local disks, which reduces operational costs and eliminates manual disk management.
The platform includes mechanisms for automated partition balancing and dynamic resource autoscaling to handle workload demands without downtime. It supports multi-zone high availability and utilizes availability zone-aware request routing to minimize inter-zone data transfer fees.
The system also provides capabilities for cluster data migration, unified stream and table integration, and the export of system metrics for real-time monitoring.
Features
- Streaming Platforms - A distributed system designed for high availability and automatic scaling across multiple availability zones in cloud environments.
- Compute-Storage Separation - Decouples compute from storage to allow processing power and storage capacity to scale independently.
- Kafka Compatible Message Brokers - Functions as a distributed streaming platform and message broker that implements the Kafka protocol.
- Log Object Storage - Persists message logs directly to cloud-native object storage to remove dependency on local disks.
- Object Storage Persistence - Saves data streams to compatible cloud storage instead of local disks to eliminate manual disk management.
- Storage-Compute Architectures - Implements an architecture that decouples compute from storage, allowing each to scale independently.
- Autoscaling Systems - Dynamically adjusts the number of compute nodes based on real-time workload metrics without data migration.
- Kafka-Compatible Deployments - Provides a Kafka-compatible deployment optimized for cloud object storage and compute-storage separation.
- Queue High Availability - Distributes processing across multiple availability zones to ensure continuous service during localized cloud failures.
- Message Queue Scaling - Automatically expands or shrinks compute resources and balances partitions to handle changing workload demands.
- Object-Storage-Based Queues - Functions as a messaging system that persists data directly to cloud object storage instead of local disks.
- Multi-Zone Resource Distribution - Distributes data and processing across multiple availability zones to ensure continuous service during localized failures.
- Kafka Protocol Implementations - Implements the Kafka API to provide seamless integration with existing Kafka clients and ecosystems.
- Shared Log Architectures - Utilizes a shared-log architecture with a remote object store as the source of truth for the distributed cluster.
- Data Migration Services - Enables moving data from compatible clusters to new environments without causing service downtime.
- Data Migration - Moves streaming data from existing Kafka clusters to new environments without interrupting active services.
- Stateless Compute Scaling - Implements a stateless compute layer that scales independently of the underlying object storage.
- Cloud Infrastructure Cost Optimization - Reduces operational expenses by eliminating local disk management and minimizing inter-zone data transfer fees.
- Availability Zone Awareness - Directs clients to brokers within the same availability zone to eliminate cross-zone data transfer fees.
- Partition Reassignments - Provides automated reassignment of partitions to balance network traffic and data distribution across brokers.
- Zone-Aware Routing - Routes clients to brokers within the same availability zone to eliminate cross-zone data transfer fees.
- Messaging - Cloud-native, serverless Kafka implementation.
Star history
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