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Load balancing has become the biggest competition in the cloud server industry. How should we choose?

Release time: December 21, 2020 11:20:32
In the Internet era, computing resources, servers, mobile phones, computers, and Internet of Things devices all need networks to connect. Load balancing is a basic network service, which is mainly used to solve the company's business concurrency pressure, enhance the network processing capacity, reduce the resource pressure of stand-alone devices, and improve the overall service performance Load balancing has become the biggest competitive item in the cloud server industry, so how should we make a choice? Today, let's take a look at Micronet.

Server Load Balancer is a traffic distribution control service that distributes access traffic to multiple backend ECS according to forwarding policies. The external service capability of the application system is expanded through traffic allocation, and the availability of the application system is improved by eliminating single points of failure.
 Load balancing has become the biggest competition in the cloud server industry. How should we choose?
This service is very extensive. It can be simple computing, reading or storing data. In the era of multi-core CPUs, load balancing is nothing new. In addition to distributed systems, load balancing is more common, which is determined by the natural characteristics of distributed systems. Distribution is to use a large number of computer nodes to complete computing and storage services that cannot be completed by a single computer. Moreover, because there are a large number of computer nodes, Balanced scheduling is particularly important.

It is not hard to imagine that if most requests of a system are located on the same node, the response time of these requests will be slower. Once the node is degraded or crashed, all requests will be transferred to the next node again, causing an avalanche. Therefore, in cloud computing, the importance of load balancing is self-evident. It can ensure that ECS runs more stably, efficiently and securely, and provide a more perfect cloud experience.

Not too understanding? Let's take an example: queuing is ubiquitous in life, just like going to a bank to handle business, bank staff will first divide customers into corresponding groups according to the type of business to be handled. Generally, a window only provides one service. If there are too many people queuing for a business, a new business window may be opened. When there is no queue, The service window will be reduced accordingly. The first half of a service number before it is obtained can be regarded as a service allocation, while waiting for a call before processing is a load balance or processing capacity pool.

Minecraft Cloud Load Balancing is a load balancing service that allocates traffic to multiple ECS servers. The external service capability of the application can be automatically allocated among multiple instances. By eliminating single point of failure, the availability of the application system can be improved, and a higher level of application fault tolerance can be achieved, so as to provide the required load balancing capability for distributing application traffic and provide efficient, stable and secure load balancing services.

In terms of scalability, Huawei Cloud Load Balancing is different from the traditional load balancing hardware department. It can flexibly expand services according to the business situation. The cluster can be expanded according to the business load level. Backend nodes can be increased or decreased at will according to the actual scenario needs. The service capabilities outside the application system can be expanded to save various costs. Users need not worry about expansion.

As far as high availability is concerned, Huawei load balancing provides redundant backups and automatic failover to ensure backward normal distribution. The cluster system automatically eliminates the failed instances. Users only need to consider the back-end business code; There are also rich protocol support, including four layers of load balancing, including TCP protocol and UDP protocol, and seven layers of load balancing, including HTTP and HTTPS protocol, respectively.

Huawei Cloud load balancing security provides multi-level disaster recovery protection, and provides users with sophisticated DDOS attack defense capabilities, such as UDP, Flood attack, SYN Flood attack, CC attack, etc. through DDoS special protection equipment; At the same time, it regularly checks the running status of the back-end ECS. Once an ECS exception is found, it will no longer forward traffic to the exception instance to ensure network availability.

In addition, the load balancing performance of Huawei Cloud is also excellent. A single cluster can process up to 20 Gbps of traffic at the same time, reaching tens of millions of concurrent traffic. After Huawei Cloud load balancing, users can safely deploy e-commerce websites, social APP software, and game services with an average daily traffic of more than 10 million to Huawei Cloud Server, and expand their business by using cloud computing.
 Load balancing has become the biggest competition in the cloud server industry. How should we choose?
Load balancing is a basic network service. Its principle is to distribute traffic to the rear end service cluster through the front load balancing service according to the specific load balancing algorithm, so as to provide the system with the ability to expand in parallel. Appropriate load balancing can flexibly expand the bandwidth of network devices and servers, increase throughput, enhance network data processing capacity, improve the flexibility and availability of the network, and make your cloud services more stable and efficient.

The above is the summary of how to select load balancing for the micro network Can help us deepen For ECS Understanding of It will be easier to choose. If you want to know more about it, please follow the ECS knowledge channel of the Micronet News Center or contact us. Micronet will serve you wholeheartedly.



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