DashMachine VS Grafana

Overall a nice tool under docker I must show https://github.com/rmountjoy92/DashMachine

I use Dashmachine as my start page for all my services, including the unraid dashboard. Dashmachine has an option to embed the pages in it so everything is self contained. I find this extremely useful.

dashmachineis generated from a single config file

apt update && apt dist-upgrade -y apt install python3-pip git nginx -y pip3 install virtualenv cd /opt virtualenv --python=python3 DashMachineEnv cd DashMachineEnv && source bin/activate git clone https://github.com/rmountjoy92/DashMachine.git cd DashMachine && pip install -r requirements.txt cat << EOT > /etc/systemd/system/gunicorn.service [Unit] Description=Gunicorn instance After=network.target [Service] User=www-data Group=www-data WorkingDirectory=/opt/DashMachineEnv/DashMachine ExecStart=/opt/DashMachineEnv/bin/gunicorn --workers 3 --bind=unix:gunicorn.sock -m 007 wsgi:app RestartSec=1 ExecReload=/bin/kill -s HUP $MAINPID KillMode=mixed TimeoutStopSec=5 PrivateTmp=true [Install] WantedBy=multi-user.target EOT cat << EOT > /etc/nginx/sites-available/DashMachine server { listen 80; location /static/ { alias /opt/DashMachineEnv/DashMachine/dashmachine/static/; } location / { include proxy_params; proxy_pass http://unix:/opt/DashMachineEnv/DashMachine/gunicorn.sock; } } EOT ln -s /etc/nginx/sites-available/DashMachine /etc/nginx/sites-enabled rm /etc/nginx/sites-available/default && rm /etc/nginx/sites-enabled/default python3 run.py deactivate sleep 1 chown -R www-data:www-data /opt/DashMachineEnv/ systemctl restart nginx sleep 1 systemctl start gunicorn && systemctl enable gunicorn systemctl restart gunicorn

I think you want Dashmachine or Organizr.

I looked in my template_apps for anything for octoprint but couldnt find anything. I found a pull request from two years ago but have no idea how to implement it. Any suggestions? Thank you.

I use DashMachine. Pretty low maintenance and it's in a docker container.

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.