The Containers view in
Infrastructure & Operations provides a dedicated inventory for viewing, filtering, and inspecting containers independently or in relation to hosts and processes. Navigate between entities to see how they are interconnected.
This view supports containerized workloads orchestrated by
Kubernetes or running on a standalone host. Each container displays detailed information, including metadata, logs, events, and time-series charts for CPU, memory, and network traffic.
The Containers view provides different perspectives for viewing your containers (Health, Utilization, and Metadata).
The Health perspective includes the following default columns:
Other perspectives provide additional columns, including Containerization type (the containerization technology in use) and Container host name (the host machine on which the container operates).
View containers within a host
Navigate from a host to see all containers running on it and the containerized workload distribution.
Access detailed container information
Select a container to access a full-page view with detailed metadata, logs, events, and time-series charts (for example, CPU, memory, network traffic) for deeper analysis and troubleshooting.
Navigate between related entities
Navigate between hosts, containers, and processes to see how they are interconnected and view the full infrastructure context.
Group and filter containers
Filter containers by container group, containerization type, and other metadata to organize and analyze containers based on operational or logical groupings.
Identify critical issues
Use the Custom alerts column and the Critical alert filter to quickly identify containers with problems. Select an alert to investigate it.
Monitor resource usage
Analyze and compare CPU and memory usage metrics across containers to optimize resource allocation.
Drill down into container details
Select a container name to view detailed graphs, processes, logs, and events for troubleshooting.
Analyze trends
Use the time selector and resource usage graphs to identify patterns or anomalies over time.