Server Load Balancing Solution

As organizations grow, the number of internal application systems is increasing, and the performance pressure on servers is naturally increasing. It is obviously impractical to continuously purchase higher-performance servers because hardware performance is limited, and one day, one day, the performance requirements of a large number of users cannot be met.

Application Background

With the expansion of organizations, the number of internal application systems has been increasing, and the performance pressure on servers is naturally increasing. It is obviously impractical to continuously purchase higher-performance servers because hardware performance is limited, and one day, one day, the performance requirements of a large number of users cannot be met. In addition, if an organization always carries application services through a single server, in the event of a failure, application access will be completely interrupted, directly affecting the stability of the organization's business. How should organizations meet increasing performance requirements when building or optimizing business systems?

Problem Analysis

Load Balancing Mechanism: Due to the increasing number of business systems, the performance of a single network service device can no longer meet the needs of many users, and thus the load of the server needs to be introduced. Balanced, the client can access multiple servers working at the same time, dynamically allocate each application request to the server in the background, and dynamically check the status of each server on-demand as needed, and assign the request to the most according to the preset rules

Efficient Servers

Server Load Balancing Value: Server load balancing technology provides an inexpensive, efficient, and transparent way to extend the bandwidth of network devices and servers over existing network structures. Increasing throughput, enhancing network data processing capabilities, and increasing network flexibility and availability are important in establishing an effective load balancing mechanism and health check mechanism.

Deep Confidence Solutions

There are comprehensive and comprehensive solutions for the two critical aspects of server utilization and stability. Using multiple server clustering mechanisms, the convinced AD series of application delivery devices can configure all real servers as virtual services to achieve load balancing and directly publish a virtual service IP. When the user requests to reach the application delivery device, according to the preset scheduling policy based on the multiple four- or seven-layer load balancing algorithm, each connection can be reasonably allocated to the corresponding server, thereby rationally utilizing the server resources. It not only solves the performance bottleneck of a single server while reducing the hardware investment cost, but also facilitates subsequent capacity expansion, providing performance guarantee for systems with large concurrent access. Through comprehensive monitoring of the health of the server, the convinced AD series of application delivery devices can discover the faulty server in real time, and switch the user's access request to other normal servers in time to achieve redundancy between multiple servers. Therefore, the stability of the critical application system is ensured, and the local access of the application system is not interrupted due to a server failure. In addition, application delivery devices can also provide business decision-making basis through business intelligence analysis for business requests from different access user groups.

Server Health Check: Deeply convinced that the AD Series Application Delivery Appliance utilizes SNMP, ICMP, UDP ports, TCP ports and HTTP, as well as custom health checks to prevent users from accessing failed servers, thereby improving application High availability to avoid disruption of business access.

Server Load Balancing Algorithm: In terms of server performance load, the convinced AD series application delivery device supports load balancing algorithms such as polling, weighted polling, hashing, dynamic feedback, fastest response, and weighted minimum connection. The reasonable distribution of data streams enables the processing power of each server to be fully utilized, ensuring the stability of the application system and improving the user's access experience.