How to Install and Uninstall ganglia-modules-linux Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: December 23,2024

1. Install "ganglia-modules-linux" package

Here is a brief guide to show you how to install ganglia-modules-linux on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install ganglia-modules-linux

2. Uninstall "ganglia-modules-linux" package

In this section, we are going to explain the necessary steps to uninstall ganglia-modules-linux on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove ganglia-modules-linux $ sudo apt autoclean && sudo apt autoremove

3. Information about the ganglia-modules-linux package on Ubuntu 21.04 (Hirsute Hippo)

Package: ganglia-modules-linux
Architecture: amd64
Version: 1.3.6-4
Priority: extra
Section: universe/admin
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Marcos Fouces
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 69
Depends: libc6 (>= 2.14), ganglia-monitor
Filename: pool/universe/g/ganglia-modules-linux/ganglia-modules-linux_1.3.6-4_amd64.deb
Size: 14604
MD5sum: a041bb10439ab67a9e82075cb402dabf
SHA1: 04d89adb1452dbd4d1264decb394e40a5520a0d7
SHA256: adbda30b8f9ad160748e1908e62c1a198803e8fed20f76d7601416389a495ecd
SHA512: c6dadb2a8623ca348791b2cb6c8b26a1fed818bb9f7cca7c1a72478886cc97235bb1138ae47b1eadb210e51a67e5164be1b70e1f86aae5b8a58a604fcd76e04a
Homepage: https://github.com/ganglia/ganglia-modules-linux
Description-en: Ganglia extra modules for Linux (IO, filesystems, multicpu)
Ganglia's core modules provide essential metrics like RAM and CPU load
and most of them are implemented for any platform where Ganglia runs.
The ganglia-modules-linux project is not constrained by the requirements
to support all the Ganglia platforms: these modules are implemented
exclusively for Linux users. The implementations are high-performance
C code. The exact modules currently included are IO statistics
(similar to the statistics from iostat), individual filesystem capacity
statistics and per-core CPU metrics.
Description-md5: f6e5fc69cb0377b8384fe9b15ba28d9b