Product Advantages

  • Usability Out of the Box

    Fully compatible with open-source Kafka, allowing you to migrate your applications to the cloud without having to edit their code.
    Fully compatible with open-source Kafka, allowing you to migrate your applications to the cloud without having to edit their code.
  • Fully Managed Kafka Queues

    Frees you from deployment and maintenance so you can focus on your business.
    Frees you from deployment and maintenance so you can focus on your business.
  • High Performance

    Provides high-throughput, low-latency, and high-performance queues.
    Provides high-throughput, low-latency, and high-performance queues.
  • Data Security

    Records management operations and supports SASL_SSL encryption in identity authentication and data transmission to prevent theft or tampering.
    Records management operations and supports SASL_SSL encryption in identity authentication and data transmission to prevent theft or tampering.

Application Scenarios

  • Enterprise

  • IoT

Enterprise

Enterprise

Kafka decouples enterprise service systems, accelerating service processing and preventing faults in one system from affecting others.

Advantages

Service HA
Data is replicated, preventing faults in one system from affecting others.
High Performance
Requests can be processed within milliseconds.
System Decoupling
Service systems are decoupled from each other and communicate through message queues.

Related Services

IoT

IoT

Kafka acts as a messaging tool that gathers massive volumes of data generated from various types of IoT devices. The data is then retrieved from Kafka for analysis and query.

Advantages

High Concurrency
By merging and compressing data, a single instance can handle millions of TPS.
Massive Message Accumulation
Data is persisted, and the message accumulation capacity can be expanded with larger disk capacity.
High Performance
Requests can be processed within milliseconds.

Related Services

Functions

  • Auto Scaling

    Kafka queues scale automatically with traffic fluctuations. Queue use is billed by throughput.
    Kafka queues scale automatically with traffic fluctuations. Queue use is billed by throughput.
  • Massive Accumulation

    A single queue can hold hundreds of millions of messages without compromising performance.
    A single queue can hold hundreds of millions of messages without compromising performance.
  • High Concurrency

    Queue throughput reaches 100,000 concurrent messages per second. Higher concurrency can be achieved by adding more queues.
    Queue throughput reaches 100,000 concurrent messages per second. Higher concurrency can be achieved by adding more queues.
  • Low Latency

    Message delivery time is accurate to the millisecond.
    Message delivery time is accurate to the millisecond.
  • High Data Reliability

    Data replication and synchronous flushing to disks ensure up to ten nines data reliability.
    Data replication and synchronous flushing to disks ensure up to ten nines data reliability.
  • Service HA

    Clustered and cross-AZ deployments ensure service availability of up to 99.95%.
    Clustered and cross-AZ deployments ensure service availability of up to 99.95%.
  • Traceability

    DMS interworks with Cloud Trace Service (CTS) to record and audit tenant management operations.
    DMS interworks with Cloud Trace Service (CTS) to record and audit tenant management operations.

Provides Scalable, On-demand Computing Resources

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