Video surveillance software with advanced remote access is a powerful tool for modern security systems, but like all technologies, it comes with its own set of challenges. One of the main bottlenecks in Video Surveillance as a Service (VSaaS) systems is the bandwidth required for transmitting high-quality video feeds. High-definition cameras using advanced compression algorithms such as H.264 can generate data streams ranging from 2 to 10 Mbps per camera. With the average outbound internet connection speed being just 5 Mbps, handling multiple cameras simultaneously becomes problematic. This gap between the data transmission capacity of VSaaS systems and the capabilities of providers is a key issue that must be addressed. However, the solution to this challenge lies in the implementation of advanced video analytics, which processes video data at the subscriber's end, reducing the strain on the network. Cloud-based infrastructures are not efficient for primary video processing due to their reliance on network speed. The more advanced the video analytics, the less load it places on the data transmission channels. For instance, when using 100 2MP cameras for perimeter security, the total data throughput can reach up to 1 Gbps, making remote viewing and video recording nearly impossible. However, motion detection algorithms can help reduce the data stream by focusing on changes within a scene. Still, such detectors may trigger false alarms due to minor changes in the frame, adding to the complexity of the system. Professional-grade video analytics that are designed to detect people and moving objects significantly reduces the load on both data transmission channels and cloud storage, ensuring that remote access remains viable even under heavy usage. Local storage plays an essential role in buffering video data, acting as a temporary solution while reducing the strain on network capacity. However, it comes at the cost of failover protection, which can be a concern for systems requiring high availability. Event-triggered recording and transmission of data to cloud storage are then executed based on the available bandwidth, which helps mitigate the issues of excessive data load. VSaaS solutions that consider the limitations of data transmission speeds are increasingly utilizing intelligent video surveillance functions, allowing remote connections to the system only when critical alerts are generated or information analysis is needed. These technologies help ensure that video surveillance software with advanced remote access remains efficient, scalable, and reliable, even when facing the challenges posed by limited bandwidth and the increasing complexity of modern security systems.