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 provides standard, FIFO and Kafka, and supports HTTP APIs, TCP SDK, and Kafka SDK.

First 5 queues free of charge

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Product Advantages
  • Kafka

    Fully compatible with the native Kafka SDK and provides off-the-shelf, secure Kafka queues that support high throughput and high reliability.

  • Multiple Queue Modes

    Provides normal and FIFO queue modes with ease of use, cost effectiveness, and high security.

  • Rich Features

    Supports message broadcasting, intentional delivery delay, redelivery, query, tracing, and dead letter messages, enabling customized queue processing capabilities.

Application Scenarios
  • Asynchronous Communication

  • IoT

  • Data Synchronization

  • Elastic App Networking

Asynchronous Communication

Asynchronous Communication

DMS transmits messages asynchronously between decoupled monolithic application subsystems, significantly improving response time.

Advantages

Faster Response

Subsystems use message queues to process concurrent requests, accelerating responses.

Decoupled Subsystems

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

Data Caching

Each queue provides a buffer that can hold 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 even if both ends are not always available. DMS works with FunctionGraph and SMN.

Advantages

High Concurrency

A queue supports up to 100,000 of TPS. System concurrency can be easily increased by adding more queues.

Flexible Synchronization Time

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

Low Latency

Message delivery time is accurate to the millisecond.

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Elastic App Networking

Elastic App Networking

DMS enables communication between apps without service interruption, even if they are added or removed.

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 resources become available.

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Functions

  • Compatibility

    DMS is compatible with native Kafka queues. It works directly with Kafka without requiring service modifications.

  • Queue Features

    DMS supports elastic scaling, queue sharing, and authorization.

  • Message Features

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

Compatibility

  • Multiple Queue Types

    DMS provides standard, FIFO, and Kafka queues.

  • Multi-Protocol Access

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

Queue Features

  • Elastic Scaling

    Queue throughput automatically scales. 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 are granted permissions as required.

  • 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

    Use labels to filter messages you want to retrieve from a 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 any time.

  • Message Tracing

    Specify the time or position to retrieve messages.

  • Message Broadcasting

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

  • High Reliability

    DMS features 99.999999999% data reliability and 99.95% service availability.

  • 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 disk ensure up to 99.99999999% data reliability.

  • Service Availability

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

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 by simply adding queues.

Security

  • Traceability

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

  • Message Encryption

    Encrypted message storage protects against unauthorized access.

Documentation

Provides Scalable, On-demand Computing Resources

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