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Memory Monitor provides detailed information about your Linux system’s memory usage and processes. This guide explains how to read and interpret the output.

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Output Format

When you run Memory Monitor, you’ll see output divided into two main sections: 
==========MEMORY MONITOR==========
Memoria Total: 16777216 kB
Memoria Libre: 8388608 kB
Buffers: 524288 kB
Cached: 2097152 kB
Memoria Usada: 5767168 kB
==============================
El proceso con mayor VmRSS es 
 Name: chrome
 PID: 1234
 VmRSS: 1048576 kB

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Memory Statistics Section

The first section displays overall system memory information:
The total amount of physical RAM installed on your system, measured in kilobytes (kB).Example: Memoria Total: 16777216 kB = ~16 GB of RAM
The amount of RAM that is completely unused by the system. This doesn’t include memory used for buffers and cache, which can be reclaimed if needed.Note: A low free memory value isn’t necessarily a problem, as Linux uses available memory for caching to improve performance.
Memory used for temporary storage of data being written to or read from disk. This memory can be quickly freed if applications need it.Purpose: Improves disk I/O performance by batching read/write operations.
Memory used to cache files and data from disk. The Linux kernel keeps frequently accessed files in memory to speed up subsequent reads.Important: Cached memory is automatically released when applications need more RAM.
The actual memory being used by applications and the system, calculated as:
Used Memory = Total - Free - Buffers - Cached
This represents the memory that is actively in use and cannot be immediately reclaimed.

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Process Information Section

The second section identifies the process consuming the most memory:
The name of the process using the most memory. This is read from the Name: field in /proc/[pid]/status.Examples: chrome, firefox, python3, java
The unique identifier assigned to the process by the Linux kernel. You can use this PID to:
  • Monitor the process with top -p [PID]
  • Get more details with ps -p [PID] -o %mem,%cpu,cmd
  • Terminate the process with kill [PID] (if needed)
The amount of physical RAM currently being used by this specific process, measured in kilobytes (kB).What it means:
  • VmRSS shows the actual physical memory occupied by the process
  • Does not include swapped out memory
  • Includes shared libraries loaded by the process
Example: VmRSS: 1048576 kB = ~1 GB of RAM used by this process

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Understanding the Units

All memory values in Memory Monitor are reported in kilobytes (kB).To convert to other units:
  • Megabytes (MB): Divide by 1,024
  • Gigabytes (GB): Divide by 1,048,576
Example: 16777216 kB ÷ 1,048,576 = 16 GB

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Interpreting Results

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Healthy Memory Usage

A healthy system typically shows:
  • High cached memory: Indicates the system is efficiently using available RAM
  • Low free memory: Normal in Linux; the system uses “free” memory for caching
  • Reasonable used memory: Should be well below total memory under normal load

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Warning Signs

Watch for these indicators of potential memory issues:
  • Used memory approaching total memory: System may start swapping to disk
  • Very high VmRSS for a single process: Possible memory leak or unexpected behavior
  • Rapidly changing VmRSS values: Process may be allocating memory continuously

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Example Analysis

Let’s analyze this output: 
Memoria Total: 8388608 kB    (8 GB total)
Memoria Libre: 524288 kB     (512 MB free)
Buffers: 262144 kB           (256 MB buffers)
Cached: 3145728 kB           (3 GB cached)
Memoria Usada: 4456448 kB    (4.25 GB used)

El proceso con mayor VmRSS es
 Name: python3
 PID: 5678
 VmRSS: 2097152 kB           (2 GB)
Analysis:
  • 8 GB total RAM with 4.25 GB actively used = ~53% utilization
  • 3 GB cached shows good disk caching performance
  • Still has headroom before memory pressure occurs
  • Verdict: Healthy memory usage
  • Python3 process using 2 GB (47% of used memory)
  • This could be normal for data processing applications
  • Monitor the PID (5678) over time to check for memory leaks
  • Action: Investigate if this is expected for your workload

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Data Source

Memory Monitor reads data directly from Linux kernel interfaces:
  • System memory: /proc/meminfo - Kernel’s memory statistics
  • Process information: /proc/[pid]/status - Per-process memory details
These are the same sources used by tools like free, top, and htop.

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Next Steps

After understanding the output:
  1. Monitor trends: Run Memory Monitor periodically to track memory usage over time
  2. Identify patterns: Look for processes that consistently use high memory
  3. Investigate issues: Use the Troubleshooting Guide if you encounter errors
  4. Optimize: Consider adjusting application configurations or upgrading RAM if needed

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