Monitoring container environments such as those using IBM Cloud Kubernetes Service involves gathering and analyzing logs, metrics, and metadata for comprehensive insight into application performance and infrastructure management. By utilizing tools like Beats, lightweight shippers for logs and metrics, data can be collected from various levels, including orchestration, hosts, applications, and containers, with Beats deployed as a DaemonSet within the Kubernetes cluster. Elasticsearch Service is used to index, store, search, analyze, and visualize this data, while Beat modules simplify the process by providing pre-packaged dashboards and parsing capabilities for common log formats. These modules, which include specific applications like Apache and Redis, offer a powerful way to collect and visualize data, providing actionable intelligence through enriched performance charts that incorporate Kubernetes events and metadata. The blog emphasizes the importance of monitoring beyond what cloud providers manage, aiming to provide a detailed understanding of infrastructure and application performance through comprehensive data collection and analysis.