Avi Load Balancer Download

The best load balancers can handle session persistence as needed. Another use case for session persistence is when an upstream server stores information requested by a user in its cache to boost performance. Switching servers would cause that information to be fetched for the second time, creating performance inefficiencies.

A load balancer is a solution that acts as a traffic proxy and distributes network or application traffic across endpoints on a number of servers. Load balancers are used to distribute capacity during peak traffic times, and to increase reliability of applications. They improve the overall performance of applications by decreasing the burden on individual services or clouds, and distribute the demand across different compute surfaces to help maintain application and network sessions.

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Load balancing distributes network traffic dynamically across a network of resources that support an application. A load balancer is the device or service that sits between the user and the server group and acts as an invisible facilitator, ensuring that all resource servers are used equally. A load balancer helps increase reliability and availability, even in times of high usage and demand, and ensures more uptime and a better user experience.

There are two types of load-balancing algorithms in terms of how they operate: static and dynamic. Static load balancing measures the incoming load on a server using algorithms that have performance capacity information about the existing servers in the distributed network. Dynamic load balancing can dynamically identify the amount of load that needs to be shed during runtime and which system should bear the load. It is designed for systems with high fluctuation in incoming load.

Load balancing works by either statically or dynamically responding to a user request, and distributing that request to one of the backend servers capable of fulfilling the request. If one of the servers goes down, the load balancer redirects traffic to the remaining online servers.

An example of static load balancing: A company hosts a website with content that is largely static. This scenario would be ideal for a static load balancer because the traffic needs are predictable and consistent. The company can use two (or more) identical web servers across which the static load balancer can distribute traffic.

An example of dynamic load balancing: A company experiences surges, spikes, and drops in traffic. Some are predictable and some are not. These organizations would benefit from dynamic load balancing. Such companies might include an e-commerce retailer announcing Black Friday hours and dates; a healthcare company which has just announced it can schedule online appointments for a seasonal vaccine; a government unemployment agency which requires unemployment insurance recipients to file a weekly claim on a certain day of the week; a relief organization that may need to respond quickly online to a natural disaster. Some of these surges and spikes in traffic and demand can be planned for, but some cannot. In these scenarios, a dynamic load balancing algorithm will help ensure access to apps and resources when customers and users need them most.

Different types of load balancers with different capabilities reside in the architecture called the Open System Interconnection (OSI) model. In this model are seven layers. Network firewalls are at levels one to three (L1-physical wiring, L2-data link and L3-network). Meanwhile, load balancing happens at layers four to seven (L4-transport, L5-session, L6-presentation and L7-application). Load balancers are generally used at Layer 4 and Layer 7.

Cloud-based load balancers are not just traffic controllers for spikes in traffic and for optimizing server use. Cloud-native load balancers can also provide predictive analytics to help you visualize traffic bottlenecks before they happen. That in turn delivers actionable insights to help any company optimize its IT solutions.

Application Load Balancing: As enterprises rely more and more on application performance and availability, application load balancing can help them scale, streamline operations, and save money.

Global Server Load Balancing: With users and customers around the world, companies can enhance their load availability with global server load balancing, which sends users to the nearest endpoint to them.

DNS Load Balancing: The practice of configuring a domain in the Domain Name System (DNS) so that user requests to the domain are distributed across a group of server machines is called DNS load balancing.

Network Load Balancing: Application delivery controllers (ADCs), physical or virtual appliances functioning as proxies for physical servers, manage application or network functions, and rely on a network load balancing solution to support them.

Diameter: A diameter load balancer distributes signaling traffic across multiple servers in a network. One of the most cost-effective ways to do this is to scale the diameter control plane rather than the data transport layer. (Diameter load balancing can also be static or dynamic.)

Hardware Load Balancer: A hardware load balancer is a physical device with a specialized operating system that can be programmed to distribute web traffic across several application servers, usually on-premises.

Software Load Balancer: A software load balancer operates like a physical load balancer, but it runs on software programs. The software keeps apps available through all kinds of traffic demands, using both static and dynamic load balancing to eliminate single points of failure.

Virtual Load Balancer: A type of load balancer that combines hardware and software load balancers is a virtual load balancer. It uses application delivery controller software that helps to distribute network traffic load among hardware backend servers.

Load balancing is the method of distributing network traffic equally across a pool of resources that support an application. Modern applications must process millions of users simultaneously and return the correct text, videos, images, and other data to each user in a fast and reliable manner. To handle such high volumes of traffic, most applications have many resource servers with duplicate data between them. A load balancer is a device that sits between the user and the server group and acts as an invisible facilitator, ensuring that all resource servers are used equally.

Server failure or maintenance can increase application downtime, making your application unavailable to visitors. Load balancers increase the fault tolerance of your systems by automatically detecting server problems and redirecting client traffic to available servers. You can use load balancing to make these tasks easier:

Load balancers come with built-in security features to add another layer of security to your internet applications. They are a useful tool to deal with distributed denial of service attacks, in which attackers flood an application server with millions of concurrent requests that cause server failure. Load balancers can also do the following:

A load balancing algorithm is the set of rules that a load balancer follows to determine the best server for each of the different client requests. Load balancing algorithms fall into two main categories.

In the round-robin method, an authoritative name server does the load balancing instead of specialized hardware or software. The name server returns the IP addresses of different servers in the server farm turn by turn or in a round-robin fashion.

In weighted round-robin load balancing, you can assign different weights to each server based on their priority or capacity. Servers with higher weights will receive more incoming application traffic from the name server.

In the IP hash method, the load balancer performs a mathematical computation, called hashing, on the client IP address. It converts the client IP address to a number, which is then mapped to individual servers.

A connection is an open communication channel between a client and a server. When the client sends the first request to the server, they authenticate and establish an active connection between each other. In the least connection method, the load balancer checks which servers have the fewest active connections and sends traffic to those servers. This method assumes that all connections require equal processing power for all servers.

Weighted least connection algorithms assume that some servers can handle more active connections than others. Therefore, you can assign different weights or capacities to each server, and the load balancer sends the new client requests to the server with the least connections by capacity.

The response time is the total time that the server takes to process the incoming requests and send a response. The least response time method combines the server response time and the active connections to determine the best server. Load balancers use this algorithm to ensure faster service for all users.

In the resource-based method, load balancers distribute traffic by analyzing the current server load. Specialized software called an agent runs on each server and calculates usage of server resources, such as its computing capacity and memory. Then, the load balancer checks the agent for sufficient free resources before distributing traffic to that server.

Companies usually have their application running on multiple servers. Such a server arrangement is called a server farm. User requests to the application first go to the load balancer. The load balancer then routes each request to a single server in the server farm best suited to handle the request.

Load balancing is like the work done by a manager in a restaurant. Consider a restaurant with five waiters. If customers were allowed to choose their waiters, one or two waiters could be overloaded with work while the others are idle. To avoid this scenario, the restaurant manager assigns customers to the specific waiters who are best suited to serve them. e24fc04721