MongoDB, a leading NoSQL database, is used by major organizations like Facebook and Expedia due to its capability to handle vast amounts of data. Monitoring its performance is crucial yet challenging because of its complex, scalable architecture. The article details how to leverage the ELK Stack to monitor MongoDB by collecting and analyzing logs and metrics. It explains tracking various metrics using the WiredTiger storage engine, discussing metricsets such as collstats, dbstats, and replstatus to assess database performance, resource utilization, and saturation. The article also provides instructions on using Logstash and Filebeat for shipping MongoDB logs to Elasticsearch and visualizing them in Kibana to create comprehensive monitoring dashboards. Additionally, it covers crucial commands like serverStatus and db.stats(), and outlines how to configure Logstash to forward MongoDB metrics to Elasticsearch or Logz.io, enhancing monitoring and alerting capabilities for database administrators.