How to Install and Uninstall rrdtool.x86_64 Package on Oracle Linux 9
Last updated: November 25,2024
1. Install "rrdtool.x86_64" package
Here is a brief guide to show you how to install rrdtool.x86_64 on Oracle Linux 9
$
sudo dnf update
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$
sudo dnf install
rrdtool.x86_64
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2. Uninstall "rrdtool.x86_64" package
This is a short guide on how to uninstall rrdtool.x86_64 on Oracle Linux 9:
$
sudo dnf remove
rrdtool.x86_64
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$
sudo dnf autoremove
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3. Information about the rrdtool.x86_64 package on Oracle Linux 9
Last metadata expiration check: 0:15:28 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : rrdtool
Version : 1.7.2
Release : 21.el9
Architecture : x86_64
Size : 577 k
Source : rrdtool-1.7.2-21.el9.src.rpm
Repository : ol9_appstream
Summary : Round Robin Database Tool to store and display time-series data
URL : https://oss.oetiker.ch/rrdtool/
License : GPLv2+ with exceptions
Description : RRD is the Acronym for Round Robin Database. RRD is a system to store and
: display time-series data (i.e. network bandwidth, machine-room temperature,
: server load average). It stores the data in a very compact way that will not
: expand over time, and it presents useful graphs by processing the data to
: enforce a certain data density. It can be used either via simple wrapper
: scripts (from shell or Perl) or via frontends that poll network devices and
: put a friendly user interface on it.
Available Packages
Name : rrdtool
Version : 1.7.2
Release : 21.el9
Architecture : x86_64
Size : 577 k
Source : rrdtool-1.7.2-21.el9.src.rpm
Repository : ol9_appstream
Summary : Round Robin Database Tool to store and display time-series data
URL : https://oss.oetiker.ch/rrdtool/
License : GPLv2+ with exceptions
Description : RRD is the Acronym for Round Robin Database. RRD is a system to store and
: display time-series data (i.e. network bandwidth, machine-room temperature,
: server load average). It stores the data in a very compact way that will not
: expand over time, and it presents useful graphs by processing the data to
: enforce a certain data density. It can be used either via simple wrapper
: scripts (from shell or Perl) or via frontends that poll network devices and
: put a friendly user interface on it.