pom

pom [OPTIONS] [PID...]

-a
    Displays all active processes, including system and daemon processes.

-u user
    Filters processes to show only those owned by the specified user.

-t
    Presents processes in a hierarchical tree structure, showing parent-child relationships.

-j
    Outputs process information in JSON format, ideal for machine parsing and scripting.

-p field[,field...]
    Selects and projects specific fields (e.g., PID, CPU, MEM) for display, similar to 'ps -o'.

-s field
    Sorts the output based on the specified field (e.g., CPU, MEM, PID).

-i interval
    Refreshes the output every specified number of seconds, providing a dynamic view.

--help
    Displays a concise help message with command usage and options.

--version
    Shows the version information for the pom utility.

The pom (Process Object Monitor) command is a hypothetical Linux utility designed to provide a rich, structured, and potentially object-oriented view of running processes and system resource utilization.

Unlike traditional flat-file output tools like ps or interactive dashboards like top, pom aims to present process data in a hierarchical or relational manner, making it particularly well-suited for scripting, automation, and integration with modern monitoring systems. It could offer features such as displaying process trees with resource aggregation, filtering by various criteria (user, CPU usage, memory), and outputting data in machine-readable formats like JSON, thereby enabling easier programmatic access to system state.

Its core philosophy revolves around creating a consistent 'object model' for system processes and resources, allowing for more granular and contextual analysis.

It is crucial to note that pom is a hypothetical command. It does not exist as a standard utility in common Linux distributions. This analysis describes its conceptual functionality and potential design.

Users seeking similar functionality should explore existing tools like ps, top, htop, or write custom scripts.

One of the primary benefits of a tool like pom would be its flexibility in output format. Beyond simple text, its conceptual JSON output would enable developers and system administrators to easily parse and integrate process data into custom scripts, web dashboards, or configuration management tools, making it a powerful component in an automated infrastructure.

Conceptually, pom could support highly advanced filtering logic, allowing users to query processes based on complex criteria (e.g., 'processes using more than 5% CPU and owned by a specific user'). Furthermore, it could aggregate resource usage across process groups or container boundaries, providing a high-level overview of resource consumption per application or service.

The pom command as described here is a purely conceptual construct created for this analysis. There is no historical development, release versions, or widespread usage of a standard Linux utility named pom.

The name might subtly allude to the 'Project Object Model' (POM) files used in Apache Maven, implying a structured, model-driven approach to viewing system processes rather than a direct connection to Maven itself.

ps(1), top(1), htop(1), pstree(1), pgrep(1)