MOTOSHARE ๐Ÿš—๐Ÿ๏ธ
Turning Idle Vehicles into Shared Rides & Earnings

From Idle to Income. From Parked to Purpose.
Earn by Sharing, Ride by Renting.
Where Owners Earn, Riders Move.
Owners Earn. Riders Move. Motoshare Connects.

With Motoshare, every parked vehicle finds a purpose. Owners earn. Renters ride.
๐Ÿš€ Everyone wins.

Start Your Journey with Motoshare

Real-Time Memory Monitoring in Linux with free -m and watch

When your Linux system starts slowing down, the first suspect is usually memory. Is RAM maxing out? Is swap being used? Is some process eating up everything?

Luckily, Linux offers simple yet powerful commands to help monitor memory usage โ€” and two of the most underrated ones are:

  • free -m
  • watch -n 1 free -m

Together, they give you a real-time, clear view of your memory status, right from the terminal.

Letโ€™s dive into what these commands do and how you can use them like a pro.


๐Ÿ” What is free -m?

The free command shows how much memory and swap space is being used, free, cached, and available on your system.

The -m flag tells free to display the values in megabytes.

โœ… Basic Usage:

free -m

Sample Output:

              total        used        free      shared  buff/cache   available
Mem:           7824        1836         612         130        5375        5583
Swap:          2047           0        2047

Breakdown of the Output

ColumnMeaning
totalTotal RAM or swap space
usedMemory currently in use
freeMemory that is completely unused
sharedMemory shared between processes
buff/cacheMemory used by buffers and cache
availableEstimation of memory available for new processes

๐Ÿ’ก Pro Tip:

Donโ€™t panic if used looks high. Linux uses free memory for caching to speed things up. The available column gives a better picture of what’s really usable.


๐Ÿ” What is watch -n 1 free -m?

This command runs free -m every second, updating the output in real-time.

โœ… Command:

watch -n 1 free -m

What It Does:

  • watch runs a command repeatedly.
  • -n 1 means run it every 1 second.
  • So you get a live dashboard of memory usage.

๐Ÿ’ผ When to Use These Commands?

  • ๐Ÿข Your system is slowing down
  • ๐Ÿง  You’re debugging memory leaks
  • ๐Ÿ› ๏ธ You want to monitor how apps consume memory
  • ๐Ÿ” You’re watching memory usage during load tests

๐Ÿง  Common Use Cases

1. โœ… Monitor a Laravel app under load:

ab -n 1000 -c 10 http://localhost/api/test
watch -n 1 free -m

Watch how your app consumes memory during performance tests.


2. โœ… Detect Swap Usage:

If Swap used starts increasing, your physical RAM is full, and the system is using disk (much slower).

free -m | grep Swap

3. โœ… Combine with Process Monitoring:

Run in two terminals:

  • Terminal 1:
watch -n 1 free -m

Terminal 2:

htop

Youโ€™ll see which process is using the memory in real time.


๐Ÿ“Œ Bonus Tip: Get a One-Liner Summary

free -m | awk 'NR==2{printf "Used: %sMB | Free: %sMB | Available: %sMB\n", $3,$4,$7}'

This outputs something like:

Used: 1856MB | Free: 612MB | Available: 5583MB

Perfect for scripts and logs.


๐Ÿง  Final Thoughts

Whether you’re a system admin or a developer managing servers, keeping an eye on memory is crucial. Tools like free -m and watch -n 1 free -m are simple, fast, and already built into every Linux distro โ€” no setup required.

The next time your system lags or you run a big process, use these commands to stay one step ahead.

Related Posts

DataOps Practices: A Comprehensive Guide for Modern Data Teams

Introduction: Problem, Context & Outcome Data teams often struggle with slow pipelines, inconsistent data quality, and fragile analytics workflows. Engineers manually move data across systems, analysts wait…

Datadog Observability: A Comprehensive Guide for DevOps Teams

Introduction: Problem, Context & Outcome Modern engineering teams struggle with poor system visibility across infrastructure, applications, and cloud services. Logs remain scattered, metrics lack context, and alerts…

Datadog Monitoring: A Comprehensive Guide for DevOps โ€”Pune

Introduction: Problem, Context & Outcome Engineering teams struggle daily with limited visibility across applications, infrastructure, and cloud services. Logs remain scattered, metrics feel disconnected, and alerts often…

Chef Configuration Management: A Comprehensive Guide โ€”Pune

Introduction: Problem, Context & Outcome Infrastructure teams often struggle with configuration drift, manual server setups, and inconsistent environments. Engineers repeatedly fix the same issues because systems behave…

Chef Configuration Management: A Comprehensive Guide โ€”Bangalore

Introduction: Problem, Context & Outcome Infrastructure teams still struggle with configuration drift, inconsistent environments, and deployment failures. Engineers often configure systems manually, which introduces errors and delays…

Amazon AWS Experts: A Comprehensive Guide to Skills โ€”Pune

Introduction: Problem, Context & Outcome Cloud adoption continues to accelerate, yet many engineers struggle to move from theory to real-world AWS implementation. Teams often deploy workloads on…

0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x