AutoMQ Cloud: Fully Managed Kafka Service - Both BYOC & SaaS Clusters Available

Auto-Scaling

Achieve rapid expansion during traffic peaks and avoid idle resources during traffic lulls.

Partition Reassignment in Seconds

Scale effortlessly without data copying. Reassign partitions within seconds, ensuring continuous self-balancing. Post-expansion, manual traffic scheduling is eliminated.

Cron/Auto-Scaling Rule

No manual intervention needed. Rapidly scale up capacity by factors of tenfold or more. Ensure applications maintain seamless performance, immune to abrupt traffic spikes and daily variations.

Cost-Effective

AutoMQ reduces billing by over 50% through S3 integration, Auto-Scaling, and Multi-Region Writes optimization.

Object storage Reduce 90%+ Costs

Utilizing object storage instead of local disks. Adopt a pay-as-you-go model, paying only for actual usage. This reduces costs to as little as one-tenth of traditional solutions.

Auto-scaling, Pay for Actual Usage

Supports scaling rules like cron and auto-follow for effective management of cyclical and unexpected workload fluctuations, ensuring optimal use of cluster resources.

Zero Cross-AZ Networking Fees

AutoMQ leverages an S3-based multi-region write architecture, completely eliminating Kafka's cross-AZ traffic costs for production, replication, and consumption.

Unified Architecture for BYOC and SaaS Clusters

In BYOC mode, AutoMQ deploys both the control plane and data plane within the user's VPC, utilizing the user's compute resources and object storage, ensuring that data never leaves the user's environment. Maintenance and operational services are provided through a secure, auditable delegated operations channel.

In SaaS mode, AutoMQ deploys both the control plane and data plane on the AutoMQ side. Users access AutoMQ services through secure and controllable access points, without needing to manage the underlying cloud resources.

Multi-Cloud Native

Multi-cloud native arch, one-click deployment to major public cloud and private cloud.

Multi-Cloud Native Arch

AutoMQ relies exclusively on object and block storage. This allows for seamless one-click deployment across major cloud platforms and storage stacks, including Ceph, MinIO, and CubeFS.

Support Hybrid-Cloud

Facilitates hybrid management of multiple public clouds and datacenters. Enables incremental deployment of new business to the public cloud while maintaining existing business on the private cloud.

Table Topic: Unified Streaming and Analytics

AutoMQ's shared storage architecture inherently supports streaming data ingestion into data lakes. With just a single click, activate real-time writing of Topic data into Iceberg tables. AutoMQ includes a built-in Schema Registry and Auto-Scaling functionality. Utilizing Table Topic eliminates the need for maintaining traditional ETL tasks and loads, as well as manual schema management.

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Data Integration & DevOps Automation

Fully compatible with the Apache Kafka ecosystem, AutoMQ provides out-of-the-box data integration. It supports data ingestion from databases, logs, IoT sources, and distributes data to downstream services such as observability, data lakes, and analytics. AutoMQ supports deployment via Terraform and Kubernetes, is compatible with Kafka Admin CLI/API, and enables standard, agile management of clusters and resources.