Load balancing works technically based on various algorithms and mechanisms to evenly distribute the workload across multiple resources. Here is an overview of how load balancing works technically:

1. Incoming Traffic: When a request or workload arrives at the load balancer, it acts as the first point of contact. This can be, for example, a network device, a virtual machine, or a software application.

2. Distribution Algorithms: The load balancer uses distribution algorithms to determine how traffic is distributed among the available resources. Various algorithms are available, such as round-robin (where each request is sent to the next available resource), least connections (where the request is sent to the resource with the fewest active connections), and weighted distribution (where priority is given to certain resources based on weights).

3. Health Checks: The load balancer performs health checks on the resources to ensure they are operational and responsive to requests. This can be achieved by periodically sending ping requests to the resources or by checking specific services or ports on the resources.

4. Traffic Distribution: Based on the chosen algorithm and the health status of the resources, the load balancer forwards incoming traffic to the selected resource. This can be achieved by adjusting the network settings or changing the destination IP addresses of the requests.

5. Feedback and Adjustment: Load balancers can use feedback mechanisms to evaluate the performance of the resources and adjust the traffic accordingly. For example, if a resource becomes overloaded, the load balancer may send less traffic to that resource or temporarily remove it from rotation until the load is reduced.

6. Monitoring and Logging: The load balancer can also offer monitoring and logging functions to keep track of the performance of resources and traffic. This includes collecting statistics, such as the total processing capacity, the number of requests sent to each resource, and the average response times.

By going through these steps, load balancing can help efficiently distribute the workload across available resources. This results in better performance, higher availability, and scalability of the system, as well as the ability to respond to changing traffic patterns and loads.