Web server logs and access logs from technologies such as NGINX, Apache, and AWS Elastic Load Balancing (ELB) provide valuable key performance indicators (KPIs) for monitoring the health and performance of applications. However, storing large volumes of log events can be expensive and difficult to maintain. Generating metrics from high-volume logs allows users to visualize overall trends in application activity while reducing costs associated with indexing large volumes of logs. By identifying important KPIs and creating metrics based on specific log attributes, users can monitor trends and gain insight into their applications' performance. Datadog's log processing and analytics make it easy to create log-based metrics that can be visualized, alerted on, and correlated with other infrastructure metrics and traces.