Product Advantages

DMS for Kafka handles your most critical workflows at massive scale with low latency

Product Advantages

DMS for Kafka handles your most critical workflows at massive scale with low latency

  • Out of the Box Compatibility

    Fully compatible with open-source Apache Kafka, allowing you to migrate your applications to the cloud without any code rewrites.
    Fully compatible with open-source Apache Kafka, allowing you to migrate your applications to the cloud without any code rewrites.
  • Fully Managed

    Focus on delivering value to your customers, while DMS for Kafka simplifies the deployment and maintenance of the computing, networking, and storage of your distributed event streaming platform.
    Focus on delivering value to your customers, while DMS for Kafka simplifies the deployment and maintenance of the computing, networking, and storage of your distributed event streaming platform.
  • High Performance and Availability

    Provides high-performance with high-throughput, low-latency, and elastic scaling. Clustered to deliver service availability up to 99.95%, and data storage reliability up to 99.99999999%.
    Provides high-performance with high-throughput, low-latency, and elastic scaling. Clustered to deliver service availability up to 99.95%, and data storage reliability up to 99.99999999%.
  • Data Security and Traceability

    Supports SASL_SSL encryption for identity authentication and data transmission to prevent unauthorized access. Compatible with Cloud Trace Service (CTS) to track user actions and resource changes.
    Supports SASL_SSL encryption for identity authentication and data transmission to prevent unauthorized access. Compatible with Cloud Trace Service (CTS) to track user actions and resource changes.

Application Scenarios

Proven and tested at huge scale for Internet, finance, retail, logistics, telecoms, manufacturing and more

  • Commerce: Easily Connect Systems with Enterprise-Grade Reliability

  • IoT: Quickly Scale and Handle Massive Throughput

Commerce: Easily Connect Systems with Enterprise-Grade Reliability

Mission-Critical Enterprise Applications

Kafka increases reliability by decoupling dependencies between enterprise service systems, preventing faults in one system from affecting others.

Advantages

High Availability

Data is replicated, allowing systems to continue even if they are not all available.

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: Quickly Scale and Handle Massive Throughput

Distributed Internet of Things (IoT) Systems

Kafka gathers massive volumes of data generated from a variety of IoT devices, to be stored and used for instant analysis and real-time insights.

Advantages

High Concurrency

By merging and compressing data, a single instance can handle millions of transactions per second.

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

Run Kafka in the cloud with easily scalable processing power and storage

Functions

Run Kafka in the cloud with easily scalable processing power and storage

  • Compatibility

    Provides instances that are compatible with open-source Apache Kafka.
    Provides instances that are compatible with open-source Apache Kafka.
  • Scaling

    Supports elastic scaling, multiple bandwidth speeds, and two I/O storage types.
    Supports elastic scaling, multiple bandwidth speeds, and two I/O storage types.
  • Management

    Easily deploy, adjust, and monitor your Kafka instances via the console.
    Easily deploy, adjust, and monitor your Kafka instances via the console.
  • Readily Available
    Readily Available
    Get Kafka hosting on the cloud with improved performance and reliability, plus message querying, tracking, filtering and dumping.
    Get Kafka hosting on the cloud with improved performance and reliability, plus message querying, tracking, filtering and dumping.
  • Access
    Access
    Systems can access DMS for Kafka using HTTP RESTful APIs.
    Systems can access DMS for Kafka using HTTP RESTful APIs.
  • Elastic Scaling
    Elastic Scaling
    Queue throughput automatically scales. The use of queues is billed by queue throughput.
    Queue throughput automatically scales. The use of queues is billed by queue throughput.
  • Instance Bandwidth
    Instance Bandwidth
    Instances support up to 100 MB/s, 300 MB/s, 600 MB/s or 1200 MB/s to handle client connections, consumer groups, and service traffic.
    Instances support up to 100 MB/s, 300 MB/s, 600 MB/s or 1200 MB/s to handle client connections, consumer groups, and service traffic.
  • Storage
    Storage
    'High I/O' storage comes as standard, while 'Ultra-high I/O' storage offers much lower latency and higher read + write bandwidth.
    'High I/O' storage comes as standard, while 'Ultra-high I/O' storage offers much lower latency and higher read + write bandwidth.
  • Kafka Manager
    Kafka Manager
    View monitoring statistics and broker information about your Kafka clusters on this web-based tool.
    View monitoring statistics and broker information about your Kafka clusters on this web-based tool.
  • Tagging
    Tagging
    Label instances with multiple tags to easily identify them.
    Label instances with multiple tags to easily identify them.
  • Monitoring
    Monitoring
    Cloud Eye monitors Kafka instance metrics in real time.
    Cloud Eye monitors Kafka instance metrics in real time.
  • High Reliability

    Up to 99.99999999% data reliability and 99.95% service availability.
    Up to 99.99999999% data reliability and 99.95% service availability.
  • High Performance

    Each instance can contain hundreds of millions of messages, with capacity for huge numbers of concurrent connections.
    Each instance can contain hundreds of millions of messages, with capacity for huge numbers of concurrent connections.
  • Security

    Messages are encrypted before they are stored and every operation is logged.
    Messages are encrypted before they are stored and every operation is logged.
  • Data Reliability
    Data Reliability
    Data replication and synchronous flushing to disk ensure up to 99.9999999% data reliability.
    Data replication and synchronous flushing to disk ensure up to 99.9999999% data reliability.
  • Service Availability
    Service Availability
    Clustered and cross-AZ (Availability Zone) deployments ensure up to 99.95% service availability.
    Clustered and cross-AZ (Availability Zone) deployments ensure up to 99.95% service availability.
  • Large Throughput
    Large Throughput
    A single instance can hold hundreds of millions of messages without compromising queue performance.
    A single instance can hold hundreds of millions of messages without compromising queue performance.
  • High Concurrency
    High Concurrency
    Queue throughput can reach up to 100,000 concurrent messages per second. Higher concurrency can be achieved by adding more queues.
    Queue throughput can reach up to 100,000 concurrent messages per second. Higher concurrency can be achieved by adding more queues.
  • Low Latency
    Low Latency
    Message delivery time is accurate to the millisecond.
    Message delivery time is accurate to the millisecond.
  • Traceability
    Traceability
    DMS for Kafka works with Cloud Trace Service (CTS) to record and track admin user actions and resource changes.
    DMS for Kafka works with Cloud Trace Service (CTS) to record and track admin user actions and resource changes.
  • Message Encryption
    Message Encryption
    Encrypted message storage protects against unauthorized access.
    Encrypted message storage protects against unauthorized access.
Usage Guides

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