DSTAT: Versatile resource statistics tool

Introduction

Whether a system is used as a web server or a normal PC, in a daily workflow, to keep under control its usage of resourcesis almost necessary: GNU/linux provides several tools for monitoring purposes: iostat, vmstat, netstat, ifstat and others. Every system admin know these products, and how to analyse their outputs. However, there’s another alternative, a single program which can replace almost all of them. Its name is dstat .

With dstat,userscan view all system resources instantly. For instance,someone could decide tocompare the network bandwidth numbers directly with the disk throughput, having a more general view on what’s going on; this is very useful in case of troubleshooting, or to analyse a system for benchmarking.

Features Combines vmstat, iostat, ifstat, netstat information and more Shows stats in exactly the same timeframe Enable/order counters as they make most sense during analysis/troubleshooting Modular design Written in python, so easy extendable Includes many external plugins Can show interrupts per device Very accurate timeframes, no timeshifts when system is stressed Shows exact units and limits conversion mistakes Indicate different units with different colors Show intermediate results when delay > 1 Allows to export CSV output, which can be imported in Gnumeric and Excel to make graphs Installation

To install dstat is a simple task, since it’s packaged in .deb and .rpm.

For Debian-based distro:

# apt install dstat

In RHEL, CentOS, Fedora:

# yum install dstat

Getting sta(r)ted

To run the program, userscan justwrite the command in its simplest form:

$ dstat

as a result,it will show different infosin atable, which help admins to have a general overview.

Plugins

First of all, it’s important to note that dstat comes with a lot of plugins; for obtaining a complete list:

$ dstat --list

which returns:

Of course, it is possible to add more, for some special use case.

So, let’s see how they work.

Who wants to use some plugin mustsimply pass its name as a command-line argument. For instance, if someone need to verify only the totalCPU usage, he can do:

$ dstat --cpu

or, in a shorter form

$ dstat -c
As previously said, program can show different stats at the same time. As an example:

$ dstat --cpu --top-cpu --disk --top-bio --top-latency

This command, which is a combination of internal stats and external plugins, willgivethetotal CPU usage, most expensive CPU process, disk statistics, most expensive block I/O process and the process with the highest total latency (expressed in milliseconds).

Output

By default,dstat displays output in columns(as a table, indeed) directly in terminal window, in real-time, for an immediate analysis made by a human. But there is also the possibility tosend it to a .csv file, whichsoftware like Libreoffice Calc or Gnumeric can use forcreating graphs, orany kind of statisticalanalysis. Exporting data to .csv is a quite easy task:

$ dstat [arguments] --output /path/to/outputfile Conclusions

This is just a rapid overview, but this tool has a lot of potential, and can be very useful in lot of scenarios, especially for the extensibility given by its design and the choice of using Python to write it.

Users interested can look for more informations at the author’swebsite .