Shulou(Shulou.com)06/01 Report--

Distributed message service DMS is a fully hosted high-performance message queuing service, which provides normal queue, ordered queue, Kafka, ActiveMQ, RabbitMQ, compatible with HTTP, TCP, AMQP protocols, and provides flexible and reliable asynchronous communication mechanism for distributed applications. With DMS, users can create a message queue and use it as a transit station for transmitting messages, storing messages between different components of an application, so that when messages are transferred between different components of an application, each component is not required to be available at the same time.

As an important component of distributed system, message queue mainly solves the problems of application coupling, asynchronous message, traffic sharpening and so on, and implements high performance, high availability, scalability and ultimate consistency architecture. So, what are the common usage scenarios of distributed message services in practical applications? Let's have a look together.

1. Asynchronous communication in distributed system

In single applications, business process coupling leads to slow response to user requests. The response speed of the whole system can be improved by decoupling the sub-system and using message queue as the asynchronous communication channel between subsystems.

Advantages:

Accelerate system response: system distributed decoupling, parallel processing, speed up the response speed of the system to user requests.

Reduce system coupling: subsystems communicate through message queues to avoid coupling and influence each other.

Data caching: message queues provide hundreds of millions of message accumulation capabilities to help the system deal with peak conditions calmly.

2. Internet of things

Internet of things devices connect to the cloud through access gateways. DMS message queues can provide high-speed data transmission channels and connect to the back-end data analysis system.

Advantages:

High concurrency: up to 100000 TPS per queue, and the concurrency capability of the whole system can be improved by expanding the number of queues

Flexible expansion: queue processing capacity is automatically expanded on demand to easily cope with the enhancement of access devices

3. Data synchronization

In large and medium-sized distributed systems, DMS can help the data of each subsystem be synchronized to the background module in time, and provide data channels to help trigger other business processes, such as function processing, message notification and so on.

Advantages:

High concurrency: up to 100000 TPS per queue, and the concurrency capability of the whole system can be improved by expanding the number of queues

Rich message types: broadcast messages, delayed messages, message reinputs, etc., enable applications to flexibly control data synchronization time

Low latency: message delivery time can be up to millisecond to ensure message timeliness

4. Highly scalable applications

For applications with scalability requirements, DMS can provide a unified access channel, and the increase or decrease of subsequent docking systems will not affect the core business system.

Advantages:

Easy integration: supports ordinary queues, FIFO queues, Kafka queue types and Http,TCP access, and easily integrates with other systems

On-demand expansion: queue processing capacity is automatically expanded on demand, which facilitates system expansion in a timely manner.

Asynchronous communication: asynchronous communication, mass accumulation and other capabilities to effectively isolate each business system to increase system robustness

If you want to be secure and stable in the choice of message queue, and do a good job in "scalability" and "reliability", it must be distributed message service.

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