A Review of System Monitoring Architectures Using Prometheus, ELK Stack, and Custom Dashboards

@article{1708762,
      author = {Ejielo Ogbuefi, Oyejide Timothy Odofin, Abraham Ayodeji Abayomi, Bolaji Iyanu Adekunle, Oluwademilade Aderemi Agboola; Samuel Owoade},
      title = {A Review of System Monitoring Architectures Using Prometheus, ELK Stack, and Custom Dashboards},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {4},
      number = {12},
      pages = {408-419},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708762.pdf},
      abstract = {System monitoring architectures play a critical role in ensuring the operational efficiency, performance, and security of modern IT infrastructures. This paper provides a comprehensive review of three prominent monitoring solutions?Prometheus, the ELK Stack (Elasticsearch, Logstash, and Kibana), and Custom Dashboards?evaluating their features, architecture, use cases, and benefits. Prometheus, an open-source time-series monitoring system, is ideal for large-scale, dynamic environments, particularly those utilizing microservices and cloud-native architectures. The ELK Stack offers a robust solution for log aggregation, search, and visualization, making it effective for security monitoring, log analysis, and performance management. Custom Dashboards, integrated with Prometheus or ELK, facilitate real-time visualization of key performance indicators, improving decision-making and responsiveness. Despite their strengths, these solutions present challenges, including scalability concerns, resource requirements, and integration complexities. The paper concludes with suggestions for future advancements in AI-driven monitoring, cross-platform integration, and automated configurations, aiming to enhance the adaptability and efficiency of monitoring systems in increasingly complex IT environments.},
      keywords = {System Monitoring, Prometheus, ELK Stack, Custom Dashboards, Real-Time Data Visualization, Log Aggregation},
      month = {June},
  }