Edge Security Acceleration (ESA) supports optimizing global network latency through smart routing and ensures business continuity and service high availability in high concurrency scenarios through traffic control and load balancing mechanisms.
Reduce network latency
Smart routing performs real-time network detection based on Alibaba Cloud global edge nodes, intelligently selects the optimal route for request data transmission according to real-time network conditions, and combines high-performance protocol stack and other optimization technologies to significantly reduce global network latency and request failure rates. This effectively improves user experience and ensures your business continuity.
For cross-region enterprises, the advantages of smart routing are particularly significant. It not only greatly reduces the latency of cross-region network transmission but also effectively improves the loading speed and stability of websites and applications. Through smart routing optimization, users can significantly enhance their capabilities in the following aspects:
Network performance: Reduces latency and packet loss, improves data transmission efficiency.
Availability: Ensures continuous stable operation of critical business applications.
Especially in business scenarios with extensive service coverage, smart routing can provide better access experience for users in geographically distant locations.
Improve business availability
Control traffic to improve user experience
Traffic control is a key method to ensure origin site high availability, which can effectively mitigate sudden traffic impacts and prevent the origin site from breaking down due to overload. When many users need to access the origin site, the waiting room feature intelligently distributes user requests, dynamically limits the number of users accessing the origin site simultaneously, and provides orderly management for waiting users to ensure stable operation of the origin site.
During traffic peaks, the waiting room data analysis module monitors and tracks core metrics such as peak traffic and user waiting time in real-time, helping you accurately identify traffic pressure points and optimize waiting room configuration strategies. The configure waiting room events feature supports flexible adjustment of queuing rules or increasing/decreasing the total number of active users, elastically expanding service capabilities according to actual business needs. Additionally, waiting room bypass rules can set exemption conditions for specific requests (such as critical business traffic or high-priority users), allowing them to directly access origin site resources during peak periods, preventing core business experience from being affected by queuing.
Whether for e-commerce promotions, online events, or sudden hot spot events, through multilayer mechanisms of traffic distribution, data analysis, dynamic adjustment, and priority control, you can effectively resist sudden traffic impacts while ensuring the continuity of critical businesses, comprehensively safeguarding business stability and reliability.
Dynamically allocate traffic to improve availability
Load balancing is a critical network management tool whose core function is to intelligently distribute incoming network or application traffic, evenly distributing it to multiple origin pools or servers. By dynamically allocating traffic, load balancing can effectively improve system performance, reliability, and user experience while ensuring high availability. Its working principle is to monitor the status and load of the server cluster in real-time, selecting the optimal server to process user requests according to load balancing policies (such as primary/secondary, weighted round-robin, area-based scheduling, etc.), thereby avoiding traffic concentration on a single server and preventing service interruptions or performance degradation due to overload.
The advantages of load balancing are not only reflected in improving system availability and stability but also significantly optimizing resource utilization and user experience. It also supports health check functionality, which can detect server operational status in real-time, automatically isolate faulty or abnormally performing servers, and ensure all traffic is routed to normally operating servers. Additionally, custom rule configuration can help you optimize traffic management, using client source IP, HTTP request header, and other fields for rule matching, and separately specifying load balancing function settings for matched rules, thereby improving the overall reliability and fault tolerance of the service.
In practical applications, load balancers are widely used in high concurrency, large-scale access scenarios, such as Web services, cloud platforms, microservices model, and content delivery network. Through load balancing technology, enterprises can achieve the following objectives:
Improve availability: Ensures continuous stable service operation by avoiding single point of failure and overload.
Enhance performance: Optimizes resource allocation, improves server response speed and processing capacity.
Optimize resource utilization: Fully utilizes server resources, avoids resource waste.
Improve user experience: Provides better access experience for users by reducing latency and improving response speed.
Whether for small and medium-sized enterprises or large enterprises, load balancing is an important component of building efficient, reliable, and scalable network architecture.