Monit linux software#
Monit linux windows#

This is the total amount of RAM memory installed in the host, less any amount assigned to the display adapter. This shows the memory usage as a percent of the total amount available. The Memory portion of the Summary section contains statistics about memory usage. Nice numbers can be changed using the renice command or from within top, atop, and htop. Setting the nice number to a more negative number results in a lower priority number making the process less nice. Setting the nice number higher than zero increases the priority number somewhat, thus making the process nicer and therefore less greedy of CPU cycles. The default nice number is 0 and the default priority is 20. Nice numbers run from -20 to +19 where higher numbers are nicer. It is not possible to change the priority of a process directly, but changing the nice number can modify the results of the kernel scheduler’s priority setting algorithm. Nice numbers are the mechanism used by administrators to affect the priority of a process. These tend to be more common in kernel-level software.

Monit linux software#

Software interrupts tell the CPU that some requested task has completed or that the software is ready for something.

A hardware interrupt occurs when a hardware device, such as a hard drive, tells a CPU that it has completed a data transfer or that a network interface card is ready to accept more data. This is the number of hardware interrupts per second. These are the number of context switches per second it represents the number of times per second that the CPU switches from running one process to another. The percentage of CPU cycles that a virtual CPU waits for a real CPU while the hypervisor is servicing another virtual processor. These are CPU cycles that are spent waiting for I/O to occur-this is wasted CPU time. These are the interrupt requests that take CPU time. This is the time used by processes that are running at a positive, nice level. This is the idle time, i.e., time not used by any running process. It does not include CPU time taken by the kernel itself, just the kernel system calls. These are the applications and other programs running in user space, i.e., not in the kernel. This is the current CPU usage as a percentage of the total available. Notice that CPUs are numbered starting at 0 (Zero). In either display mode, the descriptions of the CPU usage fields can help you interpret the data displayed in the CPU section. This view includes some additional CPU statistics. Glances showing the individual CPU statistics. I like Glances' Summary section better than the ones in other monitors (like top) I think it provides the right information in an easily understandable format. If you have enough horizontal space in your terminal, Glances can show CPU usage with both a bar graph and a numeric indicator otherwise it will show only the number. In its top few lines, Glances' Summary section contains much of the same information as you'll find in other monitors' summary sections. I'll explore them and other details for using Glances now. Glances has three main sections-Summary, Process, and Alerts-as well as a sidebar. To start Glances on a Linux host, open a terminal session and enter the command glances. If you don't have a physical host available for testing, you can explore Glances on a virtual machine (VM), but you won't see the hardware sensors section after all, a VM has no real hardware. I suggest running Glances on a test machine while you try the commands in this article. If not, or if you are using a different operating system (such as Windows), or you just want to get it right from the source, you can find instructions for downloading and installing it in Glances' GitHub repo. Most Linux distributions (Fedora in my case) have Glances in their repositories.

Monit linux windows#

It can be installed on Windows and other hosts with current versions of Python installed. Glances is cross-platform because it is written in Python. If you read my previous article, some of this information may be familiar, but you should also find some new things here.

I mentioned Glances in my article 4 open source tools for Linux system monitoring, but I will delve into it more deeply in this article. However, Glances also monitors filesystem I/O, network I/O, and sensor readouts that can display CPU and other hardware temperatures as well as fan speeds and disk usage by hardware device and logical volume. All of these tools monitor CPU and memory usage, and most of them list information about running processes (at the very least). A few years ago, I found Glances, a tool that displays information that none of my other favorites do. For me, these primarily used to be top, atop, and htop. Sysadmins have many tools to view and manage running processes.