Distributed Message Service (DMS) for Kafka
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Distributed Message Service (DMS) for Kafka

Distributed Message Service (DMS) for Kafka

Distributed Message Service (DMS) for Kafka is a fully managed, high-performance data streaming and message queuing service for large-scale, real-time applications. Simplify your Apache Kafka infrastructure management and benefit from high throughput, concurrency, and scalability.

Distributed Message Service (DMS) for Kafka is a fully managed, high-performance data streaming and message queuing service for large-scale, real-time applications.

Start with a high I/O instance from $0.38 USD/hour.

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 99.9999999%.

    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 99.9999999%.

  • 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

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
ECS

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
ECS

New Features

Oct 16, 2017

Kafka queues released
Jan 15, 2018

Support for configuring message retention period
May 14, 2018

Support for querying messages and retrieval status
May 30, 2018

Kafka instances released
Mar 30, 2019

Public access to Kafka instances
Apr 30, 2019

Enterprise projects
Aug 15, 2019

Support for configuring automatic topic creation
Nov 8, 2019

Support for modifying advertised IP addresses
Jan 30, 2020

Support for message accumulation
Mar 30, 2020

Support for more metrics
May 17, 2020

Support for advertised domain name addresses
Jun 30, 2020

Support for Kafka 2.3
Nov 30, 2020

Number of partitions allowed in a topic increased to 50
Mar 30, 2021

ACL-based (access-control list) permission control
Jun 30, 2021

Customized parameter settings to improve service flexibility

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 99.9999999% data reliability and 99.95% service availability.

    Up to 99.9999999% 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.

Documentation

Learn more about DMS for Kafka

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Technical Documents

Frequently Asked Questions
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