###### Abstract  
The Covid-19 crisis lockdown caused rapid transformation to remote working/learning modes and the need for e-commerce-, web-education-related projects development, and maintenance. However, an increase in internet traffic has a direct impact on infrastructure and software performance. We study the problem of accurate and quick web-project infrastructure issues/bottleneck/overload identification. The research aims to achieve and ensure the reliability and availability of a commerce/educational web project by providing system observability and Site Reliability Engineering (SRE) methods. In this research, we propose methods for technical condition assessment by applying the correlation of user-engagement score and Service Level Indicators (SLIs)/Service Level Objectives (SLOs)/Service Level Agreements (SLAs) measurements to identify user satisfaction types along with the infrastructure state. Our solution helps to improve content quality and, mainly, detect abnormal system behavior and poor infrastructure conditions. A straightforward interpretation of potential performance bottlenecks and vulnerabilities is achieved with the developed contingency table and correlation matrix for that purpose. We identify big data and system logs and metrics as the central sources that have performance issues during web-project usage. Throughout the analysis of an educational platform dataset, we found the main features of web-project content that have high user-engagement and provide value to services' customers. According to our study, the usage and correlation of SLOs/SLAs with other critical metrics, such as user satisfaction or engagement improves early indication of potential system issues and avoids having users face them. These findings correspond to the concepts of SRE that focus on maintaining high service availability. Keywords:educational web-projects; real-time data analysis; big data; system performance; Application Performance Monitoring (APM); business-plan; strategy; Service Level Objectives (SLO); Service Level Agreement (SLA); Service Level Indicator (SLI) +
Footnote †: journal: Applied  
without the availability of electronic educational web projects, in comparison to modern competitive organizations that provide similar services. Many universities in Ukraine and around the world are already effectively using online learning as one of the leading strategies for building and developing educational institution services. In addition, it was proven that the use of web-based resources for online learning is more effective compared to traditional learning methods [2]. The transition to the online mode allows efficient and user-friendly use of e-learning technologies, which are defined as effective multimedia learning using e-educational technology [3]. Thus, we state that e-learning is a component of educational technology, the further development of which is currently underway by many technical giants of the business world. In particular, the article by [PERSON], [PERSON], and [PERSON] [4] considered how companies offering cloud services and technologies, in particular, Amazon Web Services (AWS), Microsoft, and Google allow educational institutions to take advantage of certain products. In the study, a comparative and features analysis of certain product usage was made. The course of events related to the Covid-19 pandemic outbreak has led to a closer look at the need for digitalization and the establishment of so-called e-learning within certain institutions and organizations. We display in Figure 1, which was generated using the Google Trends service [5], that with the onset of the Covid-19 pandemic, the increased rates of searches related to online learning projects vary from 15% to 43%. The values show the popularity of a search term relative to the highest point on the graph for a particular region and time period. 100 is the peak popularity of a search term, while 50 means that the popularity of the term is half as popular during the specified period.