## 2 Literature Review  
Many methodologies and frameworks have already been developed for technical assessments and monitoring. For example, [PERSON]'s study used mathematical modeling and an electromagnetic-acoustic effect to determine the defect and reliability of pipelines. The predictive model usage at an early stage is determined to increase the probability of defect identification [6]. A certain percentage of web-project technical equipment (hardware) or software in e-learning or e-commerce is outdated, in which case its monitoring and reliability assessment is difficult and limited. The main reason is that there are difficulties in establishing connection with the legacy devices themselves; fewer metrics and logs are generated, and data processing and transfers are slower compared to modern IT solutions. A study by [PERSON] et al. showed the results of the historical structure's technical condition assessment. Physical quantity measurements were important for the crack state of a historic church in Jangrot, the assessment allowed identifying the kind of components which needed to be replaced. The study mainly emphasized the need for environmental data collection and its correlation with information about a particular equipment unit's condition and reliability. The need for advances in technical measurement data collection and the development of new means for quick data ingestion was emphasized as well [7; 8; 9]. The most focus is on the problem of infrastructure insecurity and unreliability, which can lead to web project instability and the inability to provide educational services by institutions in real-time. The educational web projects' reliability and availability is a prerequisite for providing qualitative services in higher education institutions and schools. It plays a particularly important role in isolation and quarantine conditions, for example, Covid-19, as educational institutions are transitioning to online teaching and e-learning. An equally important problem faced by educational institutions during the period of abnormal load on the online project technology infrastructure is the lack of visibility and real-time monitoring, which makes it impossible to make objective decisions regarding system scaling and troubleshooting. Accordingly, if we take into account the technological needs and scale of a particular online project, the need for monitoring, site reliability engineering, and operational intelligence methods becomes increasingly clear [10]. [PERSON] et al. provide an example distributed across more than 60 computing centers worldwide, with CMS management and monitoring using custom and traditional machine reliability metrics. In addition, an algorithm to automate the performance of distributed resources is described, which is very valuable for an onlinesystem that uses load-balancing between clusters [11]. The implementation of this algorithm can facilitate and improve monitoring processes. A correct SLA definition allows a strong user/customer understanding. Operational intelligence and real-time monitoring techniques involve the implementation of user behavior analytics. This process, in turn, allows not only understanding the users and monitoring their behavior in real-time, but also to determine certain performance indicators for an individual user, to set objective SLAs. In the article by [PERSON] et al., big data methods were used to collect browsing history and transaction data for real-time analysis of user behavior interacting with e-services in different locations. This study allows web projects to improve service quality and to establish the optimal service level agreement, which will be beneficial for all parties involved. Equally essential is the real-time monitoring of personalized diabetic patients' health. The study is valuable because it reflects the use of the Bluetooth Low Energy method to reduce the cost of data collection, as well as to provide high-quality advice to patients.