The exponential growth of Internet traffic generated by a plethora of interconnected apps poses a size challenge, making effective management of incoming requests by a single server difficult, even for the most reputable businesses. To ensure uninterrupted service delivery, IT teams are turning to the deployment of many servers operating inside a distributed system framework. Charge balancing appears to be the best strategy for capitalizing on increasing data traffic, with the dual goal of distributing computation costs over several servers and improving overall infrastructure performance. In order to achieve this goal, a range of solutions, including specialized hardware, dedicated software, or a combination of the two, may be envisaged. The combined use of keepalived with HAProxy has shown a notable reduction in recovery time following a server panel, minimizing stop time to only one second. Furthermore, our investigation reveals that in low-traffic scenarios, the Round Robin algorithm performs better than HAProxy and keepalived, but in high-traffic scenarios, the source IP technique leads. This idea emphasizes how wise it is to evaluate three algorithms and select the best one based on the traffic’s fluctuating bit rate.