How It Works: The "Multi-Region" Architecture
Need Multi-Region Disaster Recovery?
Learn how AutoMQ's Multi-Region Cluster delivers RPO=0 and second-level failover without MirrorMaker complexity.
Unified Multi-Region Stretch Cluster
Unlike complex Active-Active or Active-Passive dual-cluster setups, AutoMQ operates as a single logical cluster spanning 2-3 regions. It maintains a strictly consistent metadata view globally, eliminating the operational overhead of synchronizing separate clusters.
Seconds-Level Failover (RTO ≈ 10s)
Resilience is built-in. If a disaster strikes (e.g., us-east-1 goes down), partitions owned by the failed region are automatically rebalanced to the remaining healthy regions. The failover process completes in seconds, ensuring continuous availability.
RPO = 0 with Dual-Region Sync
Data is synchronously written to S3 buckets in two regions. Acknowledgment is only sent after successful persistence in both. Even in the event of a total regional blackout, we guarantee Zero Data Loss.
Region-Aware Performance & Cost
Clients automatically route traffic to local brokers for maximum performance. Even when consuming data produced in a different region, consumers read directly from the shared S3 layer—eliminating expensive cross-region traffic and ensuring network stability.
Redefining Disaster Recovery Standards
Why settle for the complexity of MirrorMaker? Upgrade to a cloud-native stretch cluster that guarantees consistency by design.
Architecture Complexity
Fragmented Clusters: Requires managing two independent clusters + a complex replication layer (MM2/Connect).
Pain Point: High operational overhead; fragile offsets synchronization.
Single Stretch Cluster: One logical cluster spanning regions. No external replication tools needed.
Advantage: Unified Management. 100% standard Kafka protocol without the glue code.
Data Consistency
Async Replication (RPO > 0): Relies on asynchronous copying. In a hard outage, in-flight data is permanently lost.
Pain Point: Split-Brain Risk. Hard to reconcile data differences after recovery.
Dual-Region Sync Write (RPO = 0): Data is acked only after landing in 2 regions' S3 buckets.
Advantage: Mathematically Proven Consistency. Based on Raft; impossible to lose committed data.
Failover Speed
Manual & Slow (Minutes+): Often requires DNS flip, consumer restart, and offset rewinding.
Pain Point: High RTO. Human intervention is usually required.
Automatic Rebalance (~10s): Partitions from the failed region are instantly reassigned to healthy brokers.
Advantage: Zero-Touch Recovery. The system heals itself before you even finish the pager duty alert.
Network & Traffic
Double Traffic Cost: Every byte produced must be physically replicated across the cross-region network.
Pain Point: Expensive Bandwidth. Consumers often read remotely, adding latency.
On-Demand Access: Consumers read directly from the shared S3 layer. No "double-copying" of data over the wire unless necessary.
Advantage: Region-Aware Optimization. Traffic stays local; data moves via the cloud provider's internal S3 backbone.
Currently in production at:
The Only Multi-Region Kafka with RPO = 0
No other Kafka system can guarantee zero data loss across regions while giving you a single, unified endpoint. Your apps don't need config changes. No DNS flips. No offset gymnastics. Just automatic failover that actually works.
Want to know how we pulled this off? Talk to our team. We'll walk you through the architecture—no sales pitch, just the technical details.
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