Containerized apps are now the standard, making it crucial for teams to collect usage and performance metrics effectively. Monitoring helps understand resource utilization and performance, enabling better application management. A smart approach is using an agent that gathers and exports data directly from containers. One such tool is cAdvisor, an open-source container monitoring tool created by Google. It can gather, compile, process, and export metrics based on containers, including filesystem and network information, CPU, and memory consumption. Key features of cAdvisor include out-of-the-box support for several container types, automatic location of containers on its node, multiple implementation methods, export of data for additional processing and analysis to storage plugins, a built-in Web user interface, and strong REST API. However, it has limitations such as gathering only basic resource usage data and requiring additional configuration for custom hardware. To effectively implement cAdvisor in Kubernetes, deploy it on each node using a DaemonSet or Kubernetes, which automatically deploys an instance of the container to each node. It's essential to monitor cluster resources like CPU, disk, and network bandwidth, as well as workload metrics related to deployments and pods. By understanding cAdvisor's key features, limitations, implementation best practices, and security considerations, teams can efficiently monitor their containerized environments and make data-driven decisions.