Process Management and Monitoring
Managing Services with systemd on Linux
Process management is essential for any Linux DevOps engineer. Every application, script, or service runs as a process.
Use ps aux to view all running processes, showing details like user, PID, CPU/memory usage, and command:
ps aux
For real-time monitoring, top provides an interactive dashboard with system stats and processes sorted by CPU or memory usage:
top
To stop a process, use kill PID. If it doesn’t respond, force it with:
kill -9 PID
Mastering ps, top, and kill helps maintain system stability and resolve issues efficiently.
Process Monitoring Concepts
Process monitoring is essential for keeping your Linux systems stable and efficient. As a DevOps engineer, you need to understand how to observe and manage the processes running on your servers.
When you monitor processes, you watch how much CPU, memory, and other resources each process uses. Imagine your production web server starts responding slowly. You log in and run the top command. This tool shows you a real-time list of running processes, sorted by resource usage. You notice that a process called python3 is using 99% of the CPU. This is a sign that something is wrong — perhaps a script is stuck in an infinite loop. This is known as a runaway process.
Another scenario: your server’s available memory drops sharply. You use the ps aux --sort=-%mem command to list processes by memory usage. You see that a process named java is consuming several gigabytes of RAM. This could indicate a memory leak in your application, which can eventually cause the system to become unresponsive.
By actively monitoring processes, you can quickly spot these issues. You can then take action, such as restarting the runaway process or investigating the root cause. This proactive approach helps prevent outages and keeps your services running smoothly.
Understanding process monitoring tools and concepts allows you to:
- Identify which applications are consuming the most resources;
- Detect abnormal behavior, such as runaway or zombie processes;
- Ensure critical services remain available and performant.
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Managing Services with systemd on Linux
Process management is essential for any Linux DevOps engineer. Every application, script, or service runs as a process.
Use ps aux to view all running processes, showing details like user, PID, CPU/memory usage, and command:
ps aux
For real-time monitoring, top provides an interactive dashboard with system stats and processes sorted by CPU or memory usage:
top
To stop a process, use kill PID. If it doesn’t respond, force it with:
kill -9 PID
Mastering ps, top, and kill helps maintain system stability and resolve issues efficiently.
Process Monitoring Concepts
Process monitoring is essential for keeping your Linux systems stable and efficient. As a DevOps engineer, you need to understand how to observe and manage the processes running on your servers.
When you monitor processes, you watch how much CPU, memory, and other resources each process uses. Imagine your production web server starts responding slowly. You log in and run the top command. This tool shows you a real-time list of running processes, sorted by resource usage. You notice that a process called python3 is using 99% of the CPU. This is a sign that something is wrong — perhaps a script is stuck in an infinite loop. This is known as a runaway process.
Another scenario: your server’s available memory drops sharply. You use the ps aux --sort=-%mem command to list processes by memory usage. You see that a process named java is consuming several gigabytes of RAM. This could indicate a memory leak in your application, which can eventually cause the system to become unresponsive.
By actively monitoring processes, you can quickly spot these issues. You can then take action, such as restarting the runaway process or investigating the root cause. This proactive approach helps prevent outages and keeps your services running smoothly.
Understanding process monitoring tools and concepts allows you to:
- Identify which applications are consuming the most resources;
- Detect abnormal behavior, such as runaway or zombie processes;
- Ensure critical services remain available and performant.
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