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18.1.2.1 Desktop Container Dashboard

A focused guide to Desktop Container Dashboard, connecting core concepts with practical Docker and container operations.

The Desktop container dashboard's specific value beyond individual container controls lies in how it groups and visualizes containers belonging to the same Compose stack together, and in the resource usage graphs and search capabilities it layers on top of the raw container list, which together make sense of a multi-container deployment considerably faster than working through equivalent CLI commands one container at a time.

Grouping containers by Compose project

Rather than presenting every container as a flat, undifferentiated list, the Dashboard groups containers belonging to the same Compose stack together under a single, collapsible project heading, mirroring the actual logical structure of the deployment rather than an arbitrary, alphabetical container listing:

docker compose ps
Dashboard > Containers
  my-project (3 containers)
    > api
    > worker
    > db

This grouped view makes it immediately clear which containers belong together as part of the same stack, which is considerably faster to grasp visually than scanning a flat docker ps output and mentally reconstructing which containers belong to which project based on naming convention alone.

Stack-level actions from the grouped view

The grouped project view supports acting on every container within a stack simultaneously, starting, stopping, or removing an entire Compose project's containers together, equivalent to the corresponding docker compose command but available as a single, direct action within the grouped view itself:

docker compose stop
docker compose down

This is functionally identical to running the equivalent Compose command from a terminal, but convenient when already working within the Dashboard and wanting to act on an entire stack without switching context to a terminal session.

Resource usage graphs over time

Beyond the instantaneous resource figures docker stats provides, the Dashboard's per-container view includes a live, scrolling graph of CPU and memory usage over a recent window, giving a visual sense of trend, whether usage is climbing, stable, or spiking periodically, that a single point-in-time number does not convey on its own:

docker stats --no-stream my-api

A visual trend like this is genuinely useful for a quick, informal investigation into whether a container's resource usage is behaving as expected during active development or testing, though it does not replace a proper, persistent metrics pipeline for anything beyond this kind of immediate, exploratory inspection.

Searching and filtering across many containers

For a host running enough containers that scrolling through the full list becomes unwieldy, the Dashboard's search and filter capabilities narrow the displayed list directly by name, status, or project, which is faster for locating a specific container than constructing the equivalent docker ps --filter command from memory:

docker ps --filter "name=api" --filter "status=running"
Dashboard > Containers > search: "api"

This is a convenience specifically valuable for an occasional, ad hoc lookup; anything needing the equivalent filtering repeatedly or as part of a script still depends on the CLI's own filtering syntax directly.

Quick access to per-container details from the grouped view

Clicking into a specific container from within its Compose project grouping opens the same detailed view available for any standalone container, logs, resource graphs, an interactive terminal, environment variables, without losing the surrounding context of which stack and which sibling containers it belongs to.

Dashboard > Containers > my-project > api > Logs

This contextual navigation, moving between the stack-level grouped view and an individual container's details without losing track of the broader stack structure, is one of the more genuinely useful aspects of the Dashboard specifically for a multi-container deployment, compared to a purely CLI-based workflow that requires separately tracking which containers belong together.

Recognizing the limits of dashboard-based stack management

For anything beyond casual, interactive inspection during development, the actual source of truth for a Compose stack's configuration remains the Compose file itself, version-controlled and reviewable; the Dashboard's grouped view is a convenient lens onto the currently running state of that stack, not a substitute for managing the stack's actual definition through its proper, version-controlled configuration.

git diff docker-compose.yml

Common mistakes

  • Relying on a flat, ungrouped mental model of running containers rather than taking advantage of the Dashboard's Compose-aware grouping for a multi-container deployment.
  • Using stack-level actions from the Dashboard as a substitute for understanding the equivalent, scriptable docker compose commands needed for any automated or repeatable workflow.
  • Treating the Dashboard's resource usage graphs as a substitute for an actual, persistent metrics pipeline needed for anything beyond immediate, informal inspection.
  • Not using search and filter capabilities when working with a host running many containers, manually scrolling through an unwieldy, undifferentiated list instead.
  • Forgetting that the Dashboard's grouped view reflects currently running state only, not the stack's actual, version-controlled configuration, which remains the genuine source of truth.

The Desktop container dashboard's grouped, Compose-aware view, combined with resource trend graphs and search capabilities, makes sense of a multi-container deployment considerably faster than an equivalent flat, CLI-only workflow for interactive inspection specifically, while the Compose file itself remains the actual, authoritative source of truth for the stack's configuration regardless of how convenient the Dashboard's visualization of its current running state happens to be.