Running the ELK Stack in production poses significant challenges, particularly when it comes to monitoring, which is crucial for understanding the performance and health of Elasticsearch and Logstash instances. As many DevOps teams deploy ELK on Docker, effective monitoring of containers becomes essential, and while numerous tools are available, they can often be costly and complex. An open-source alternative involves using Prometheus for time-series data collection and Grafana for visualization, providing a user-friendly and efficient monitoring solution. Prometheus, initially developed by SoundCloud, offers an easy querying language and a scalable multi-dimensional data model, complemented by a vibrant community and ecosystem. The process involves setting up Dockerized ELK and deploying Prometheus and Grafana through pre-made docker-compose configurations, which include dashboards that provide detailed insights into container metrics like CPU, memory, and network usage. This approach allows for efficient monitoring of both Docker containers and the host environment, offering a comprehensive view of system performance and enabling quick identification and resolution of potential issues.