GithubHelp home page GithubHelp logo

zacikpa / tuned Goto Github PK

View Code? Open in Web Editor NEW

This project forked from redhat-performance/tuned

0.0 0.0 0.0 2.11 MB

Tuning Profile Delivery Mechanism for Linux

License: GNU General Public License v2.0

Shell 6.21% Python 91.00% C 1.26% Makefile 1.53%

tuned's Introduction

TuneD: Daemon for monitoring and adaptive tuning of system devices.

(This is TuneD 2.0 with a new code base. If you are looking for the older version, please check out branch '1.0' in our Git repository.)

How to use it

TuneD is incompatible with cpupower and power-profiles-daemon. If you have these services, uninstall or disable them.

On Fedora, Red Hat Enterprise Linux, and their derivatives: install the tuned package (optionally tuned-utils, tuned-utils-systemtap, and tuned-profiles-compat):

  # dnf install tuned

After installation, start the tuned service:

  # systemctl start tuned

You likely should run tuned whenever your machine boots:

  # systemctl enable tuned

When the daemon is running you can easily control it using the tuned-adm utility. This tool communicates with the daemon over DBus. Any user can list the available profiles and see which one is active. The active profile can be switched only by root user or by any user with physical console allocated on the machine (X11, physical tty, but no SSH).

To see the current active profile, run:

  # tuned-adm active

To list all available profiles, run:

  # tuned-adm list

To switch to a different profile, run:

  # tuned-adm profile <profile-name>

The enabled profile is persisted into /etc/tuned/active_profile, which is read when the daemon starts or is restarted.

To disable all tunings, run:

  # tuned-adm off

To show information/description of given profile or current profile if no profile is specified, run:

  # tuned-adm profile_info

To verify current profile against system settings, run:

  # tuned-adm verify

To enable automatic profile selection, run:

  # tuned-adm auto_profile

To show the current profile selection mode, run:

  # tuned-adm profile_mode

To recommend a profile for a given system, run:

  # tuned-adm recommend

Currently only static detection is implemented - it decides according to data in /etc/system-release-cpe and the output of virt-what. The rules for autodetection are defined in the file /usr/lib/tuned/recommend.d/50-tuned.conf. They can be overridden by the user by creating a file in /etc/tuned/recommend.d or a file named recommend.conf in /etc/tuned. See the tuned-adm(8) man page for details). The default rules recommend profiles targeted to the best performance or the balanced profile if unsure.

Available tunings

We are currently working on many new tuning features. Some are described in the manual pages, some are yet undocumented.

Authors

The best way to contact the authors of the project is to use our mailing list: [email protected]

If you want to contact an individual author, you will find their e-mail address in every commit message in our Git repository: https://github.com/redhat-performance/tuned.git

You can also join the #fedora-power IRC channel on Freenode.

Web page: https://tuned-project.org/

Contributing

See the file CONTRIBUTING.md for guidelines for contributing.

License

Copyright (C) 2008-2021 Red Hat, Inc.

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.

Full text of the license is enclosed in COPYING file.

The Developer Certificate of Origin, distributed in the file 'DCO' is licensed differently, see the file for the text of the license.

The icon:

The TuneD icon was created by Mariia Leonova [email protected] and it is licensed under Creative Commons Attribution-ShareAlike 3.0 license (http://creativecommons.org/licenses/by-sa/3.0/legalcode).

tuned's People

Contributors

yarda avatar fcelda avatar olysonek avatar jankaluza avatar tomaskorbar avatar jmencak avatar evgeni avatar matosatti avatar msuchane avatar uniontech-lilinjie avatar rhemployee avatar liuzhilin12 avatar adriaan42 avatar watologo1 avatar alessandro-guido avatar vianpl avatar tomastomecek avatar oliel avatar chuckersjp avatar dlan17 avatar psss avatar xzpeter avatar nealepetrillo avatar bolinches avatar jpopelka avatar jtval avatar czerta avatar felixsch avatar christophefontaine avatar voxadam avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.