Installation on Linux

Setting up your machine

If you ever get stuck during this installation, be sure to reboot the machine once. It may help to correctly load some configurations and/or daemons.

To get correct measurements, the tool requires a linux distribution as foundation, a webserver (instructions only given for NGINX, but any webserver will do), python3 including some packages, and docker installed (rootless optional). In this manual we are assuming you are running a Debian/ Ubuntu flavour of Linux.

We recommend to fully reset the node after every run, so no data from the previous run remains in memory or on disk.

For the sake of this manual we put the green metrics tool into your home directory. Of course you can place it anywhere. Please modify the commands accordingly.

git clone https://github.com/green-coding-berlin/green-metrics-tool ~/green-metrics-tool && \
cd ~/green-metrics-tool && \
sudo apt update && \
sudo apt upgrade -y && \
sudo apt install make gcc python3 python3-pip libpq-dev libglib2.0-dev -y && \
sudo python3 -m pip install -r ~/green-metrics-tool/requirements.txt

git clone https://github.com/green-coding-berlin/green-metrics-tool ~/green-metrics-tool && \
cd ~/green-metrics-tool && \
sudo dnf upgrade -y && \
sudo dnf install -y make gcc python3 python3-devel libpq-devel glib2-devel
sudo python3 -m pip install -r ~/green-metrics-tool/requirements.txt

The sudo in the last command is very important, as it will tell pip to install to /usr directory instead to the home directory. So we can find the package later with other users on the system. If you do not want that use a venv in Python.

Docker

Docker provides a great installation help on their website that will probably be more up to date than this readme: https://docs.docker.com/engine/install/

However, we provide here what we used in on our systems, but be sure to double check on the official website. Especially if you are running a different distribution.

Base install 

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg && \
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null && \
sudo apt update && \
sudo apt remove docker docker-engine docker.io containerd runc -y && \
sudo apt install ca-certificates curl gnupg lsb-release -y && \
sudo apt install docker-ce docker-ce-cli containerd.io docker-compose-plugin -y

sudo dnf remove docker \
                  docker-client \
                  docker-client-latest \
                  docker-common \
                  docker-latest \
                  docker-latest-logrotate \
                  docker-logrotate \
                  docker-selinux \
                  docker-engine-selinux \
                  docker-engine
sudo dnf -y install dnf-plugins-core
sudo dnf config-manager \
    --add-repo \
    https://download.docker.com/linux/fedora/docker-ce.repo
sudo dnf install docker-ce docker-ce-cli containerd.io docker-compose-plugin
sudo systemctl start docker

You can check if everything is working fine by running docker stats. It should connect to the docker daemon and output a view with container-id, name, and stats, which should all be empty for now. You can also run sudo docker run hello-world which will run a little welcome container.

Rootless mode

The Green Metrics Tool (GMT) is currently designed to work only with Docker in rootless mode.

If your docker daemon currently does not run in rootless mode please follow the heregiven instructions.

In order to use rootless mode you must have a non-root user on your system (see https://docs.docker.com/engine/security/rootless/

👉 Typically a normal installation of Ubuntu/ Fedora has at least one non-root user setup during installation.

Important: If you have just created a non root user be sure to relog into your system (either through relogging, or a new ssh login) with the non-root user. A switch with just su my_user will not work.

The docker-ce-rootless-extras package on Ubuntu provides a dockerd-rootless-setuptool.sh script, which must be installed and run:

sudo systemctl disable --now docker.service docker.socket && \
sudo apt install uidmap && \
sudo apt update && \
sudo apt-get install -y docker-ce-rootless-extras dbus-user-session && \
dockerd-rootless-setuptool.sh install

After the installation the install script will tell you to add some export statements to your .bashrc file. Please do so to always have the correct paths referenced if you open a new terminal.

Lastly please run the following commands to have the docker daemon always lingering:

systemctl --user enable docker
sudo loginctl enable-linger $(whoami)

The docker-ce-rootless-extras package on Fedora provides a dockerd-rootless-setuptool.sh script, which must be installed and run:

sudo systemctl disable --now docker.service docker.socket && \
sudo dnf install -y shadow-utils fuse-overlayfs iptables && \
sudo dnf install -y docker-ce-rootless-extras && \
dockerd-rootless-setuptool.sh install

After the installation the install script will tell you to add some export statements to your .bashrc file. Please do so to always have the correct paths referenced if you open a new terminal.

Lastly please run the following commands to have the docker daemon always lingering:

systemctl --user enable docker
sudo loginctl enable-linger $(whoami)

You must also enable the cgroup2 support with the metrics granted for the user: https://rootlesscontaine.rs/getting-started/common/cgroup2/.

Make sure to also enable the CPU, CPUSET, and I/O delegation as instructed there.

Dockerfiles

The Dockerfiles will provide you with a running setup of the working system with just a few commands.

It can technically be used in production, however it is designed to run on your local machine for testing purposes.

The system binds in your host OS to port 9142. So the web view will be accessible through http://metrics.green-coding.internal:9142

Setup

Please run the install_linux.sh script in the root folder.

This script will:

  • Ask for the URLs of where to deploy the frontend and API
    • If you are working locally we strongly encourage you to use the defaults of http://metrics.green-coding.internal:9142 and http://api.green-coding.internal:9142. All other local domains are not supported out of the box.
    • If you plan to deploy on an outside visible URL please type the URL including https:// but omitting port if it is running on port 80 or 443
  • Set the database password for the containers
    • By default the script will ask you to provide a password, but you can also pass it in directly with the -p parameter.
  • Initialize and update git submodules
  • Create the needed /etc/hosts entries for development
  • Install needed development libraries via apt for metric providers to build
  • Build the binaries for the Metric Providers
  • Set needed /etc/sudoers entry for requesting kernel scheduler info

What you might want to add:

  • SMTP mail sending is by default deactivated, so for a quick-start you do not have to change that in the config.yml
  • The RAPL reporter is by default deactivated. Please check the Metric Providers Documentation on how to active it

After that you can start the containers:

  • Build and run in the docker directory with docker compose up
  • The compose file uses volumes to persist the state of the database even between rebuilds. If you want a fresh start use: docker compose down -v && docker compose up
  • To start in detached mode just use docker compose -d

Connecting to DB

You can now connect to the db directly on port 9573, which is exposed to your host system.
This exposure is not strictly needed for the green metrics tool to run, but is useful if you want to access the db directly. If you do not wish to do so, just remove the 9573:9573 entry in the compose.yml file.

The database name is green-coding, user is postgres, and the password is what you have specified during the install_linux.sh run, and can be found in the compose.yml file.

Restarting Docker containers on system reboot

We recommend systemd. Please use the following service file and change the USERNAME accordingly to the ones on your system.

The file will be installed to: /home/USERNAME/.config/systemd/user/green-coding-service.service

[Unit]
Description=Docker Compose for all our services
After=docker.service

[Service]
Type=simple
ExecStart=/home/USERNAME/startup-docker.sh
Restart=never

[Install]
WantedBy=default.target

As you can see Restart is set to never. The reason is that the docker dameon will restart the containers by itself. The systemd script is only needed to start the container once on reboot.

As you can see we also reference the /home/USERNAME/startup-docker.sh file which systemd expects to be in your green metrics tool directory.

Please create the following file in your home directory:

#!/bin/bash
docker context use rootless
docker compose -f /home/USERNAME/docker/compose.yml up -d

Now you can reload and enable the daemon:

systemctl --user daemon-reload
systemctl --user enable green-coding-service

Dockerfiles architecture explanation:

  • The postgres container has a volume mount. This means that data in the database will persists between container removals / restarts
  • The interconnect between the gunicorn and the nginx container runs through a shared volume mount in the filesystem. Both use the user www-data to read and write to a UNIX socket in /tmp
  • all webserver configuration files are mounted on start of the container as read-only. This allows for changing configuration of the server through git-pull or manual editing without having to rebuild the docker image.
  • postgresql can detect changes to the structure.sql. If you issue a docker compose down -v the attached volume will be cleared and the postgres container will import the database structure fresh.

Metric providers

Some metric providers need extra setup before they work.

LM-Sensors

The required libraries are installed automatically via the install.sh call. However for completeness, these are the libraries installed:

sudo apt install -y lm-sensors libsensors-dev libglib2.0-0 libglib2.0-dev

sudo dnf -y install lm_sensors lm_sensors-devel glib2 glib2-devel

If you want the temperature metric provider to work you need to run the sensor detector

sudo sensors-detect

in order to detect all the sensors in your system. One you have run this you should be able to run the

sensors

command and see your CPU temp. You can then use this output to look for the parameters you need to set in the config.yml. For example if sensors gives you:

coretemp-isa-0000
Adapter: ISA adapter
Package id 0:  +29.0°C  (high = +100.0°C, crit = +100.0°C)
Core 0:        +27.0°C  (high = +100.0°C, crit = +100.0°C)
Core 1:        +27.0°C  (high = +100.0°C, crit = +100.0°C)
Core 2:        +28.0°C  (high = +100.0°C, crit = +100.0°C)
Core 3:        +29.0°C  (high = +100.0°C, crit = +100.0°C)

Your config could be:

lm_sensors.temperature.provider.LmSenorsTempProvider:
    resolution: 100
    chips: ['coretemp-isa-0000']
    features: ['Package id 0', 'Core 0', 'Core 1', 'Core 2', 'Core 3']

As the matching is open ended you could also only use 'Core' instead of naming each feature.

XGBoost

The XGBoost metrics provider can estimate the power consumption of the total system (AC-Energy).

It is included as a submodule in the Green Metrics Tool and should have been checked out with the initial install command of this manual. If not run:

git submodule update --init

It must be supplied with the machine params in the config.yml file:

  • CPUChips
  • HW_CPUFreq
  • CPUCores
  • TDP
  • HW_MemAmountGB

Please look at the always current documentation here to understand what values to plug in here: XGBoost SPECPower Model documentation

Also the model must be activated by uncommenting the appropriate line with …PsuEnergyAcXgboostSystemProvider

Lastly, if you don’t have them already, you need to install some python libraries:

python3 -m pip install -r ~/green-metrics-tool/metric_providers/psu/energy/ac/xgboost/machine/model/requirements.txt

DC Metrics Provider

This providers needs a custom piece of hardware to work:

Please look for details in the provider documentation at PsuEnergyDcPicologSystemProvider →

RAPL

On kernels > 2.6 all the kernel modules should automatically be loaded.

However just in case run:

sudo modprobe intel_rapl_common # or intel_rapl for kernels < 5
sudo modprobe intel_rapl_msr
sudo modprobe rapl

Live system

ℹ️ If you just want to run the Green Metrics Tool locally this step can be skipped
ℹ️ It is only if you want to host the Green Metrics Tool on a live server.

Updating port to 80

The development setup of the GMT binds on port 9142. For a normal setup on a live server we recommend binding it to port 80.

The change is done in the /docker/compose.yml file.

green-coding-nginx:
    [...]
    ports:
      - 9142:80 # change this to 80:80

SSL

TODO!

No thorough documentation on this yet! However you have to configure NGINX accordingly so that it finds the SSL credentials and certificate. This is done in the /docker/nginx/frontend.conf.

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