intel/CeTune

DISCONTINUATION OF PROJECT

This project will no longer be maintained by Intel.

Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.

Intel no longer accepts patches to this project.

If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.

Contact: [email protected]

Functionality Description

• CeTune is a toolkit/framework to deploy, benchmark, profile and tune *Ceph cluster performance.
• Aim to speed up the procedure of benchmarking *Ceph performance, and provide clear data charts of system metrics, latency breakdown data for users to analyze *Ceph performance.
• CeTune provides test performance through three interfaces: block, file system and object to evaluate *Ceph.

Maintainance

• CeTune is an opensource project, under LGPL V2.1, Drived by INTEL BDT CSE team.
• Maillist: https://github.com/01org/CeTune
• Subscribe maillist: https://lists.01.org/mailman/listinfo/cephperformance

Prepare

• one node as CeTune controller(AKA head), Other nodes as CeTune worker(AKA worker).
• Head is able to autossh to all workers include himself, head has a 'hosts' file contains all workers info.
• All nodes are able to connect to yum/apt-get repository and also being able to wget/curl from ceph.com.

Installation

• Install to head and workers:

head and workers need deploy apt-get,wget,pip proxy.
apt-get install -y python

• Install to head:

git clone https://github.com/01org/CeTune.git

cd /CeTune/deploy/
python controller_dependencies_install.py

# make sure head is able to autossh all worker nodes and 127.0.0.1
cd ${CeTune_PATH}/deploy/prepare-scripts; ./configure_autossh.sh ${host} ${ssh_password}

• Install to workers:

cd /CeTune/deploy/
python worker_dependencies_install.py

Start CeTune with WebUI

# install webpy python module
cd ${CeTune_PATH}/webui/ 
git clone https://github.com/webpy/webpy.git

cd webpy
python setup.py install

# run CeTune webui
cd ${CeTune_PATH}/webui/
Python webui.py

# you will see below output
root@client01:/CeTune/webui# python webui.py
http://0.0.0.0:8080/

Add user for CeTune

cd /CeTune/visualizer/
# show help
python user_Management.py --help

# add a user
cd /CeTune/visualizer/
python user_Management.py -o add --user_name {set username} --passwd {set passwd} --role {set user role[admin|readonly]}

# delete a user
python user_Management.py -o del --user_name {username}

# list all user
python user_Management.py -o list

# update a user role
python user_Management.py -o up --user_name {username} --role {set user role[admin|readonly]}

• CeTune WebUI

Configure

• Use WebUI 'Test Configuration' Page, you can specify all the deploy and benchmark required configuration.
• Also users are also able to directly modify conf/all.conf, conf/tuner.yaml, conf/cases.conf to do configuration.
• Configuration helper is both under 'helper' tag, right after 'User Guide' and shows on the configuration page.
• Below is a brief intro of all configuration files' objective:
  • conf/all.conf
    • This is a configuration file to describe cluster, benchmark.
  • conf/tuner.yaml
    • This is a configuration file to tune ceph cluster, including pool configuration, ceph.conf, disk tuning, etc.
  • conf/cases.conf
    • This is a configuration file to decide which test case to run.

Deploy Ceph

Assume ceph is installed on all nodes, this part is demonstrate the workflow of using CeTune to deploy osd and mon to bring up a healthy ceph cluster.

• Configure nodes info under 'Cluster Configuration'

• Uncheck 'Benchmark' and only check 'Deploy', then click 'Execute'

• WebUI will jump to 'CeTune Status' and you will about to see below console logs

Benchmark Ceph

• Users are able to configure disk_read_ahead, scheduler, etc at 'system' settings.
• Ceph.conf Tuning can be added to 'Ceph Tuning', so CeTune will runtime apply to ceph cluster.
• 'Benchmark Configuration' is how we control the benchmark process, will give a detail explaination below.
  • There are two parts under 'Benchmark Configuration'.
  • the first table is to control some basic settings like where to store result data, what data will be collected, etc.
  • The second table is to control what testcase will be run, users can add multi testcase, so all the testcases will be run one by one.

Check Benchmark Results

User Guidance PDF

CeTune Documents Download Url