Distributed Message Service

Distributed Message Service (DMS) is a fully managed, high-performance message queuing service that enables reliable, flexible, and asynchronous communication between distributed applications. It supports HTTP APIs, the TCP SDK, and the Kafka SDK.

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Product Advantages
  • Reliability

    Features such as data replication, synchronous flushing to disks, and automatic fault discovery & migration prevent message loss.

  • Easy O&M

    Queue throughput is adjusted to accommodate service load. Message querying and tracing are provided, and over 20 metrics and alarms keep you updated on service status.

  • Fast Integration

    DMS uses HTTP APIs, TCP SDK, Kafka SDK, and authorization information sharing between queues to quickly integrate with other cloud services.

  • Security

    Message encryption, tenant isolation, and operation logs ensure security.

Application Scenarios
  • Asynchronous Communication

  • IoT

  • Data Synchronization

  • Elastic App Networking

Asynchronous Communication

Asynchronous Communication

DMS transmits messages asynchronously between decoupled subsystems of monolithic applications, significantly improving the system response time.

Advantages

Faster Response

Message queues are used by subsystems to process concurrent requests.

Decoupled Subsystems

With message queues, subsystems communicate with each other even if they are not always available.

Data Caching

Each queue provides a buffer that can store hundreds of millions of messages. Messages that cannot be processed immediately are automatically buffered.

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IoT

IoT

DMS provides high-speed transmission channels between IoT devices and data analytics systems.

Advantages

High Concurrency

Each queue supports up to 100,000 messages per second. Increasing system concurrency is as simple as adding queues.

Elastic Scaling

Queue throughput automatically scales according to the service load.

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Data Synchronization

Data Synchronization

DMS allows the frontend and backend to exchange data without requiring each other to be always available. DMS works with FunctionStage and SMN.

Advantages

High Concurrency

Each queue supports up to 100,000 messages per second. Increasing system concurrency is as simple as adding queues.

Flexible Synchronization Time

Messages can be delivered after a specified delay time, broadcast, or redelivered.

Low Latency

Message delivery time is accurate to the millisecond.

Elastic App Networking

Elastic App Networking

DMS enables apps to communicate with each other even if apps are added or removed, without service interruptions.

Advantages

Easy Integration

DMS uses HTTP APIs, TCP SDK, and Kafka SDK to quickly integrate with other systems.

On-Demand Scaling

Queue throughput automatically scales according to the service load.

Asynchronous Communication

If a system receives more messages than it can process, DMS buffers the messages until they can be processed.

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Functions

  • Compatibility

    DMS is compatible with native Kafka queues and can directly work with Kafka systems without any modifications.

  • Queue Features

    DMS supports elastic scaling, queue sharing, and authorization.

  • Message Features

    Messages can be delivered after a specified delay time, filtered, traced, broadcast, and redelivered.

Compatibility

  • Multiple queue types

    DMS provides standard, FIFO, and Kafka queues.

  • Multi-protocol access

    Systems can access DMS by using HTTP Restful APIs, the TCP SDK, and the Kafka SDK.

Queue Features

  • Elastic scaling

    Queue throughput can scale automatically as required. The use of queues is billed by queue throughput.

  • Queue sharing and authorization

    Tenants or users created by the same tenant can share queues and authorization.

  • Dead-letter queue

    Messages that cannot be successfully processed are sent to a dead-letter queue. Messages in the dead-letter queue can be set aside and isolated for analysis.

Message Features

  • Message filtering

    Consumers can use labels to filter the messages they want to retrieve from the chosen queue.

  • Intentional delivery delay

    Messages can be delivered after a specified delay time.

  • Message redelivery

    Messages that will not be immediately retrieved can be redelivered back to queues. Consumers can retrieve the messages when they are ready to do so.

  • Message tracing

    Consumers can specify the time or position at which messages will be retrieved again.

  • Message broadcasting

    The same message can be delivered to all consumers in the same consumer group.

  • High Reliability

    DMS features data reliability of up to 99.999999999% and service availability of up to 99.95%.

  • High Performance

    Each queue can contain hundreds of millions of messages. DMS supports tens of millions of concurrent connections.

  • Security

    Messages are encrypted before they are stored and every operation is logged.

High Reliability

  • Data reliability

    Data replication and synchronous flushing to disks ensure data reliability of up to 99.99999999%.

  • Service availability

    Clustered deployment and cross-AZ deployment ensure service availability of up to 99.95%.

High Performance

  • Large throughput

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

  • Low latency

    Message delivery time is accurate to the millisecond.

  • High concurrency

    Queue throughput reaches up to 100,000 concurrent messages per second. A higher concurrency can be achieved simply by adding queues.

Security

  • Traceability

    DMS works with Cloud Trace Service to record and audit tenant management operations.

  • Message encryption

    Encrypted storage of messages protects against unauthorized access to messages.

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