sudo apt install lm-sensors
 
watch -n 2 sensors

$ cargo install bottom
$ . ~/.bashrc
$ btm

pip install bpytop

sudo apt install htop

sudo pip install glances

# gpu 모니터링 (print 함수 사용하도록 수정된 버전)
sudo pip install git+https://github.com/jonsafari/nvidia-ml-py.git

sudo apt-get install -y python-pip; sudo pip install glances[gpu]

서비스 등록

sudo vi /etc/systemd/system/glances.service

/// glances.service 에 입력
[Unit]
Description=Glances

[Service]
ExecStart=/usr/local/bin/glances -s
Restart=on-abort

[Install]
WantedBy=multi-user.target
///

sudo systemctl enable glances.service
sudo systemctl start glances.service

# 확인
sudo systemctl -a | grep glances

# 접속
glances -c {ip address}  # 기본 포트는 61209

glances --browser
# master 설정은 ~/.config/glances/glances.conf

///
[serverlist]
# Define the static servers list
server_1_name=n1
server_1_port=61209
server_2_name=n2
server_2_port=61209
///

• https://github.com/nicolargo/glances/wiki/Start-Glances-through-Systemd

sudo apt install bmon
bmon

sudo apt-get install -y ganglia-monitor rrdtool gmetad ganglia-webfrontend

sudo cp /etc/ganglia-webfrontend/apache.conf /etc/apache2/sites-enabled/ganglia.conf

# 아파치 재시작
sudo service apache2 restart

sudo apt-get install -y ganglia-monitor

• https://www.digitalocean.com/community/tutorials/introduction-to-ganglia-on-ubuntu-14-04

• https://github.com/ganglia/gmond_python_modules/tree/master/gpu/nvidia
• https://github.com/wookayin/gpustat

• nvidia-smi

nvidia-smi dmon
watch --interval 1 nvidia-smi -q -d MEMORY,TEMPERATURE,COMPUTE

• nvtop

• iotop

• 서버에 걸리는 부하, 추측하지 말고 계측하자