Due to the need to store large amounts of data, automate processes, support business continuity, and organize remote work, there is a need for a deep understanding of the concepts and capabilities of cloud computing. The use of this technology is becoming a key factor in the competitiveness of enterprises in the digital age.
Quality of Service (QoS) is identified as a key task for distributed systems because meeting user needs is an important aspect of their successful functioning. Most container autoscaling solutions focus on resource optimization and cost management. However, these solutions often do not consider the dynamic user requirements for Quality of Service (QoS), resulting in delays in resource allocation and a decrease in service quality. Existing autoscaling and load balancing algorithms inadequately account for load dynamics, which is a significant issue.