The article is devoted to a systematic analysis of modern monitoring and logging tools widely used in web application environments, such as Prometheus, Grafana, Datadog, AWS CloudWatch, ELK stack (Elasticsearch, Logstash, Kibana), and New Relic. Its relevance lies in the necessity to efficiently manage telemetry data generated by complex and large-scale web systems to ensure reliability and performance. The novelty consists in a detailed comparative evaluation of tools regarding their architectures, capabilities, deployment models, and integration ecosystems. Special attention is paid to practical scenarios in which each solution demonstrates clear advantages or encounters limitations. The primary goal of this research is to provide comprehensive guidance on selecting optimal monitoring tools tailored to specific organizational needs. Methods applied include analysis of recent vendor documentation, industry reports, user surveys, and technical benchmarks. The conclusion summarizes best-fit scenarios for each tool. The article will be particularly useful for DevOps engineers, web architects, and system administrators.

monitoring, logging, Prometheus, Grafana

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