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ELK Stack Approach with Artificial Intelligence for Logs Collection and Resource Usage Monitoring and Forecasting

  • Khawla Elansari,
  • Abdellah Idrissi,
  • Kaoutar Moutaouakil

摘要

In today’s fast-paced digital world, businesses constantly seek innovative solutions to monitor their systems, gather logs, and adequately manage resource utilization. These responsibilities are critical for guaranteeing the smooth functioning of numerous apps and services by assuring a seamless and optimal operation. This paper presents an end-to-end approach to effectively introduce an artificial intelligence-based resource usage forecasting method into an enterprise environment. This solution begins with collecting and storing metrics data using the ELK stack and progresses to forecasting utilizing the power of Artificial Intelligence, notably Deep Learning. The Elasticsearch, Logstash, and Kibana (ELK) stack is widely considered a complete and valuable platform for log gathering, processing, and visualization. It becomes much more potent when integrated with AI in estimating resource utilization and anticipating future trends.