Load balancing offers many advantages, which have been given below:
Load balancers distribute requests throughout the WAN and the internet, stopping server overload. They also increase response time through the use of more than one server to process many requests at the same time.
Servers can be added and removed from server groups as needed. Individual servers can be brought down for maintenance or upgrade without affecting processing.
Load balancers only use servers that are up and running to transmit traffic. Other servers can still process requests even if one fails. Numerous massive commercial websites, including Amazon, Google and Facebook, have thousands of load-balancing and related app servers deployed across the globe. Small businesses can also use load balancers to direct traffic to backup servers.
Multiple servers ensure that processing will continue even when a server failure occurs.
When traffic increases, new servers can be automatically added to a server group without bringing down services. When high-volume traffic events end, servers can be removed from the group without disrupting service.
ISmile Technologies provides several additional benefits over traditional load-balancing setups, including:
- Disaster recovery: If a local data center outage occurs, other load balancers in different centers worldwide can pick up the traffic.
- Compliance: Load balancer settings can be configured to conform to local regulatory requirements.
- Performance: The closest server routing can reduce network latency.
Common load-balancing algorithms
Load balancers use algorithms to determine where to route client requests. Some of the more common load-balancing algorithms include:
- Least Connection Method: Clients are routed to servers with the least number of active connections.
- Least Bandwidth Method: Clients are routed to servers based on which server is servicing the least amount of traffic, measured in bandwidth.
- Least Response Time: Server routing occurs based on the shortest response time generated for each server. The least response time is sometimes used to create a two-tiered load balancing method with the slightest connection method.
- Hashing methods: We are linking specific clients to specific servers based on information in client network packets, such as the user’s IP address or another identification method.
- Round Robin: Clients are connected to servers in a server group through a rotation list. The first client goes to server 1, the second to server 2, and so on, looping back to server 1 when reaching the end of the list.
Load balancing scenarios
Using the techniques outlined here, load balancing can be applied in many different scenarios. Some of the more common load-balancing use cases include:
- App servicing: Improving overall on-premise, mobile, and web performance.
- Network load balancing: Evenly distributing requests to commonly used internal resources that are not cloud-based, such as email servers, file servers, video servers, and for business continuity.
- Network adapters: Using load balancing techniques to direct traffic to different network adapters servicing the same servers.
- Database balancing: Distributing data queries to different servers, increasing reliability, integrity, and response time.
Load balancing is a core networking function that can be used anywhere to distribute workloads uniformly across different computing resources. It is a key component of any network. ISmile Technologies has proven expertise in these technologies. Schedule a free assessment today.
Vignesh is a cloud engineer with a demonstrated history of working in multiple cloud platforms like AWS, Azure, and GCP. His expertise proves in providing and implementing solutions for the organization.