Elastic Load Balancers (ELB) in AWS enable users to distribute traffic across EC2 instances, and the access logs they generate provide valuable insights for monitoring and troubleshooting this traffic. These logs include data such as requester identity, processing time, and traffic volume, and can be used to assess operational health and efficiency by checking load distribution among servers and access volumes from various global locations. Users can ship ELB logs to an S3 bucket and analyze them using the ELK Stack (Elasticsearch, Logstash, and Kibana) to index, parse, and visualize the data, which facilitates the creation of dashboards for monitoring traffic and analyzing metrics like error response codes, geographic distribution, and traffic volume. The article details two methods for integrating ELB logs with ELK: using Logz.io for automated parsing or employing Logstash for more customizable data handling. Ultimately, the capability to aggregate and analyze ELB logs with ELK provides a powerful tool for statistical analysis, diagnostics, and troubleshooting, enhancing the utility of ELB logs through comprehensive visualization and monitoring.