Introduction:
Pi.Alert is a powerful application for Raspberry Pi that enables you to monitor and control your network devices. In this guide, we’ll walk you through the process of setting up Pi.Alert using Docker. We’ll cover two deployment options, each with its own configuration.

Step 1: Deploy Pi.Alert with Docker and Persistent Data

To deploy Pi.Alert with persistent data, use the following Docker command:

docker run --name pialert -d \
  -v pialert_data:/home/pi/pialert/db \
  -v pialert_config:/home/pi/pialert/config \
  --net=host \
  jokobsk/pi.alert:latest

Explanation of options used:

• --name pialert: Assigns the name “pialert” to the container for easy management.
• -d: Runs the container in the background (detached mode).
• -v pialert_data:/home/pi/pialert/db: Creates a Docker volume named “pialert_data” and mounts it to the “/home/pi/pialert/db” directory inside the container to persist data.
• -v pialert_config:/home/pi/pialert/config: Creates a Docker volume named “pialert_config” and mounts it to the “/home/pi/pialert/config” directory inside the container to provide configuration data.
• --net=host: Utilizes the host’s network stack for efficient communication with other services on the Raspberry Pi.
• jokobsk/pi.alert:latest: Specifies the Docker image to use for running the Pi.Alert application.

Step 2: Deploy Pi.Alert with Docker and Environment Variables

To deploy Pi.Alert with environment variables, use the following Docker command:

docker run --name pialert -d --network=host \
  -v pialert_config:/home/pi/pialert/config \
  -v pialert_data:/home/pi/pialert/db \
  -e TZ=Europe/Berlin \
  -e PORT=20211 \
  jokobsk/pi.alert:latest

Explanation of options used:

• --name pialert: Assigns the name “pialert” to the container for easy management.
• -d: Runs the container in the background (detached mode).
• --network=host: Uses the host network stack for efficient communication with other services on the Raspberry Pi.
• -v pialert_config:/home/pi/pialert/config: Creates a Docker volume named “pialert_config” and mounts it to the “/home/pi/pialert/config” directory inside the container to provide configuration data.
• -v pialert_data:/home/pi/pialert/db: Creates a Docker volume named “pialert_data” and mounts it to the “/home/pi/pialert/db” directory inside the container to persist data.
• -e TZ=Europe/Berlin: Sets the timezone to “Europe/Berlin” inside the container.
• -e PORT=20211: Sets the environment variable “PORT” to the value “20211” inside the container.
• jokobsk/pi.alert:latest: Specifies the Docker image to use for running the Pi.Alert application.

Remember to configure your network settings by adding “192.168.0.1/24” under settings and saving the changes before running the container.

Conclusion:
You have successfully deployed Pi.Alert on your Raspberry Pi using Docker. Whether you chose the option with persistent data or environment variables, Pi.Alert is now ready to help you monitor and manage your network devices.

Explore Pi.Alert’s features and start enhancing your network management capabilities today! Happy monitoring!

Introduction:
Keeping your Docker containers up-to-date with the latest versions is crucial for security and optimal performance. In this guide, we’ll introduce you to Ouroboros, a powerful Docker container that automates the update process. Additionally, we’ll show you how to receive Pushover notifications about container updates, so you can stay informed in real-time.

Step 1: Install Ouroboros with Docker

To install Ouroboros and run it in Docker, execute the following command:

docker run -d --name=ouroboros --hostname=ouroboros --network=host --restart=always -v /var/run/docker.sock:/var/run/docker.sock -e CLEANUP=true -e TZ='Europe/Copenhagen' -e INTERVAL=1440 pyouroboros/ouroboros:latest -N 'pover://xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx?priority=0'

Explanation of options used:

• -d: Run the container in the background (detached mode).
• --name=ouroboros: Assign the name “ouroboros” to the container for easy management.
• --hostname=ouroboros: Set the hostname for the container to “ouroboros.”
• --network=host: Utilize the host’s network stack for efficient communication with other Docker containers.
• --restart=always: Configure the container to automatically restart if it stops unexpectedly.
• -v /var/run/docker.sock:/var/run/docker.sock: Mount the Docker daemon socket into the container to enable communication with the Docker daemon for updates.
• -e CLEANUP=true: Enable automatic cleanup of unused images after updates to optimize disk space usage.
• -e TZ='Europe/Copenhagen': Set the timezone for the container to “Europe/Copenhagen.” Adjust this according to your location.
• -e INTERVAL=1440: Set the interval (in minutes) for checking updates. In this example, updates are checked every 1440 minutes (24 hours).
• -N 'pover://xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx?priority=0': Enable Pushover notifications for container updates. Replace the ‘xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx’ with your actual Pushover user key.

Step 2: Receive Pushover Notifications

With Ouroboros set up, you will now receive real-time Pushover notifications about container updates. Ensure you have the Pushover app installed on your device and configure it with the appropriate priority to suit your needs.

Conclusion:

By deploying Ouroboros and integrating Pushover notifications, you’ve automated the process of updating Docker containers to their latest versions while staying informed about any changes. This proactive approach helps maintain a secure and high-performing containerized environment.

Enjoy hassle-free updates and timely notifications with Ouroboros and Pushover! Happy container management!

Introduction:
Homer is a customizable personal start page that allows you to organize and access your frequently used bookmarks and services in one place. In this guide, we’ll show you how to set up Homer Dashboard using Docker, making it easy to manage and access your favorite links and services.

Step 1: Install Docker
Before proceeding, ensure you have Docker installed on your system. If you haven’t installed Docker yet, follow the official Docker installation instructions for your operating system.

Step 2: Run Homer Dashboard Docker Container
Run the following command to create and start the Homer Dashboard Docker container:

docker run -d --restart always --name homer -p 8090:8080 -v homer_data:/www/assets b4bz/homer:latest

Explanation of options used:

• -d: Run the container in the background (detached mode).
• --restart always: Configure the container to automatically restart if it stops unexpectedly.
• --name homer: Assign the name “homer” to the container for easy management.
• -p 8090:8080: Map port 8080 from the container to port 8090 on the host system. This allows you to access Homer Dashboard at http://localhost:8090.
• -v homer_data:/www/assets: Create a Docker volume named “homer_data” and mount it to the /www/assets directory inside the container. This volume allows you to persist Homer Dashboard customizations and data.
• b4bz/homer:latest: Use the latest Homer Dashboard Docker image from Docker Hub.

Step 3: Access Homer Dashboard Web Interface
Once the Homer Dashboard container is running, you can access the web interface by opening a web browser and navigating to http://localhost:8090.

Step 4: Customize Homer Dashboard
Homer Dashboard is highly customizable. You can add, remove, and organize bookmarks and services according to your preferences. Make sure to explore the settings and customize the dashboard to suit your needs.

Conclusion:
You’ve successfully set up Homer Dashboard using Docker, providing a convenient and personalized start page to access your frequently used links and services. With Docker, managing Homer Dashboard becomes easy and allows you to keep your customizations and data safe through the Docker volume.

Happy organizing and accessing your favorite links!

Introduction:
Home Assistant is an open-source home automation platform that enables you to control and automate various smart devices in your home. Docker makes it easy to deploy and manage Home Assistant. In this guide, we’ll show you how to set up Home Assistant using Docker.

Step 1: Install Docker
Before proceeding, ensure you have Docker installed on your system. If you haven’t installed Docker yet, follow the official Docker installation instructions for your operating system.

Step 2: Run Home Assistant Docker Container
Run the following command to create and start the Home Assistant Docker container:

docker run --restart always -d --name homeassistant -v homeassistant_data:/config -e TZ=Europe/Copenhagen --net=host ghcr.io/home-assistant/home-assistant:latest

Explanation of options used:

• --restart always: Configure the container to automatically restart if it stops unexpectedly.
• -d: Run the container in the background (detached mode).
• --name homeassistant: Assign the name “homeassistant” to the container for easy management.
• -v homeassistant_data:/config: Create a Docker volume named “homeassistant_data” and mount it to the /config directory inside the container. This volume allows you to persist Home Assistant configurations and data.
• -e TZ=Europe/Copenhagen: Set the timezone for Home Assistant. Replace “Europe/Copenhagen” with your desired timezone.
• --net=host: Use the host’s network stack to simplify network configuration. This is required for Home Assistant to communicate with local devices and services effectively.
• ghcr.io/home-assistant/home-assistant:latest: Use the latest Home Assistant Docker image from the GitHub Container Registry (ghcr.io).

Step 3: Access Home Assistant Web Interface
Once the Home Assistant container is running, you can access the web interface by opening a web browser and navigating to http://localhost:8123 or http://<your_server_ip>:8123.

Step 4: Set Up Home Assistant
Follow the on-screen instructions to set up your Home Assistant instance. You’ll need to create an account and configure various settings to get started with home automation.

Conclusion:
You’ve successfully set up Home Assistant using Docker, allowing you to control and automate smart devices in your home. Docker provides a convenient way to manage and deploy Home Assistant, and with Home Assistant’s user-friendly interface, you can easily create customized automation routines and monitor your smart home devices.

Happy home automation!

Introduction:
Grafana is a popular open-source data visualization and monitoring tool. In this guide, we’ll show you how to set up Grafana using Docker and configure it to use Prometheus as a data source.

Step 1: Install Grafana with Docker
To install Grafana and run it in Docker, use the following command:

docker run -d --name=grafana -p 3000:3000 -v grafana_data:/data grafana/grafana

Explanation of options used:

• -d: Run the container in the background (detached mode).
• --name=grafana: Assign the name “grafana” to the container for easy management.
• -p 3000:3000: Map port 3000 from the container to the host system. This allows you to access Grafana’s web interface at http://localhost:3000.
• -v grafana_data:/data: Create a Docker volume named “grafana_data” and mount it to the /data directory inside the container. This volume allows you to persist Grafana’s data and configurations.

Step 2: Access Grafana Web Interface
Once the Grafana container is running, you can access the web interface by opening a web browser and navigating to http://localhost:3000.

Step 3: Change Default Admin Credentials
Log in to Grafana using the default admin credentials (username: “admin,” password: “admin”). You’ll be prompted to change the password upon initial login.

Step 4: Add Prometheus Data Source
To add Prometheus as a data source in Grafana, follow these steps:

1. Click on the gear icon (Configuration) in the left sidebar, then select “Data Sources.”
2. Click on the “Add data source” button.
3. Choose “Prometheus” from the list of data sources.
4. In the “HTTP” section, set the URL to the address of your Prometheus server, in this case, http://192.168.0.223:9090.
5. Click “Save & Test” to verify the connection to Prometheus. If successful, you’ll see a green notification.

Step 5: Start Creating Dashboards
With Prometheus as the data source, you can start creating dashboards and visualizations in Grafana to monitor and analyze your data.

Conclusion:
You’ve successfully set up Grafana using Docker and configured it to use Prometheus as a data source. Grafana provides a user-friendly interface for visualizing data from various sources, and with Prometheus as a backend, you can easily create powerful monitoring dashboards.

Happy data visualization and monitoring!

Introduction:
GlusterFS is a distributed file system designed to work across multiple nodes, providing high availability and scalability. In this guide, we’ll show you how to set up GlusterFS on a Raspberry Pi cluster to create a shared storage pool.

Note: Ensure you have configured the hosts file on the server and worker nodes, as mentioned in the instructions.

Step 1: Install GlusterFS
On the server and worker nodes, install GlusterFS with the following commands:

sudo apt update
sudo apt install -y glusterfs-server
sudo systemctl enable --now glusterd

Step 2: Peer All Nodes
From the master node (RPISWARM), peer all the nodes to the GlusterFS pool:

gluster peer probe RPIWORK1
gluster peer probe RPIWORK2
gluster peer probe RPIWORK3

Step 3: Create Gluster Volume
On the master node (RPISWARM), create the Gluster volume across the GlusterFS pool:

sudo mkdir -p /gluster/volumes
sudo gluster volume create staging-gfs replica 4 RPISWARM:/gluster/volumes RPIWORK1:/gluster/volumes RPIWORK2:/gluster/volumes RPIWORK3:/gluster/volumes force

Step 4: Start the Gluster Volume
On the master node (RPISWARM), start the Gluster volume:

sudo gluster volume start staging-gfs

Step 5: Auto Start GlusterFS Mount on Reboot
On the master node (RPISWARM), add an entry to the /etc/fstab file to auto-mount the GlusterFS volume:

sudo su
echo 'localhost:/staging-gfs /mnt glusterfs defaults,_netdev,backupvolfile-server=localhost 0 0' >> /etc/fstab
mount.glusterfs localhost:/staging-gfs /mnt
chown -R root:docker /mnt
exit

Step 6: Verify GlusterFS Mount
Verify that the GlusterFS volume is mounted with:

df -h
sudo mount.glusterfs localhost:/staging-gfs /mnt

Conclusion:
You’ve successfully set up GlusterFS on your Raspberry Pi cluster, creating a distributed file system that provides shared storage across multiple nodes. GlusterFS enables you to distribute data across the nodes, improving data availability and performance. With this configuration, you can leverage the power of GlusterFS to build resilient and scalable storage solutions for your Raspberry Pi cluster.

Happy distributed file system management!

Introduction:
Ghost is a popular open-source publishing platform designed for creating and managing blogs. With Docker, you can easily set up and run Ghost in a containerized environment. In this guide, we’ll show you how to run Ghost in development mode using Docker.

Step 1: Install Docker
Before proceeding, ensure you have Docker installed on your system. If you haven’t installed Docker yet, follow the official Docker installation instructions for your operating system.

Step 2: Run Ghost Blog Container
Run the following command to create and start the Ghost blog container in development mode:

docker run -d --restart always --name ghost -p 2368:2368 -v ghost_data:/var/lib/ghost/content -e NODE_ENV=development ghost:latest

Explanation of options used:

• -d: Run the container in the background (detached mode).
• --restart always: Configure the container to automatically restart if it stops unexpectedly.
• --name ghost: Assign the name “ghost” to the container for easy management.
• -p 2368:2368: Map port 2368 from the container to the host system. This allows you to access the Ghost blog from http://localhost:2368.
• -v ghost_data:/var/lib/ghost/content: Create a Docker volume named “ghost_data” and mount it to the /var/lib/ghost/content directory inside the container. This volume allows you to persist Ghost blog data, including posts and images.
• -e NODE_ENV=development: Set the environment variable NODE_ENV to “development.” This tells Ghost to run in development mode, which provides additional debugging information and enables certain development features.

Step 3: Access Ghost Blog
Once the Ghost blog container is running, you can access the blog by opening a web browser and navigating to http://localhost:2368. From here, you can set up and customize your Ghost blog.

Step 4: Clean Up (Optional)
If you want to stop and remove the Ghost blog container while preserving the data, use the following commands:

docker stop ghost
docker rm ghost

Conclusion:
You’ve successfully set up and run the Ghost blog in development mode using Docker. Ghost’s development mode allows you to test and experiment with your blog’s configuration and theme without affecting the production environment. Docker provides a portable and isolated environment for running Ghost, making it easy to manage and deploy your blog.

Happy blogging!

Introduction:
ntopng is a network traffic analysis tool that provides detailed real-time insights into your network’s traffic. By using Docker, you can easily deploy ntopng with its required configurations. In this guide, we’ll show you how to set up ntopng using Docker with the necessary parameters for network monitoring.

Step 1: Install Docker
Before proceeding, ensure you have Docker installed on your system. If you haven’t installed Docker yet, follow the official Docker installation instructions for your operating system.

Step 2: Run ntopng Docker Container
Run the following command to create and start the ntopng Docker container:

docker run -it \
--name ntopng \
-p 3000:3000/tcp \
-p 2055:2055/udp \
-e ACCOUNTID="xxxxx" \
-e LICENSEKEY="xxxxxxxxx" \
-e LOCALNET="192.168.0.0/24" \
-v ntopng_data:/var/lib/ntopng \
--restart unless-stopped \
--net=host \
phantomski/ntopng

Explanation of options used:

• -it: Allocate a pseudo-TTY and keep STDIN open, allowing you to interact with the ntopng console if needed.
• --name ntopng: Assign the name “ntopng” to the container for easy management.
• -p 3000:3000/tcp: Map port 3000 from the container to the host system. This allows you to access the ntopng web interface at http://localhost:3000.
• -p 2055:2055/udp: Map port 2055 from the container to the host system. This is used for ntopng to receive NetFlow/sFlow data from devices on the network.
• -e ACCOUNTID="xxxxxx": Set the ntopng Account ID. Replace “xxxxx” with your ntopng account ID obtained from the ntopng website.
• -e LICENSEKEY="xxxxxxxxxx": Set the ntopng License Key. Replace “xxxxxxxxx” with your ntopng license key obtained from the ntopng website.
• -e LOCALNET="192.168.0.0/24": Specify the local network to be monitored. Replace “192.168.0.0/24” with your network’s subnet.
• -v ntopng_data:/var/lib/ntopng: Create a Docker volume named “ntopng_data” and mount it to the /var/lib/ntopng directory inside the container. This volume allows you to persist ntopng data and configurations.
• --restart unless-stopped: Configure the container to automatically restart if it stops unexpectedly.
• --net=host: Use the host’s network stack to simplify network configuration and improve performance.

Step 3: Access ntopng Web Interface
Once the ntopng container is running, you can access the ntopng web interface by opening a web browser and navigating to http://localhost:3000. From here, you can explore the real-time network traffic data and analytics provided by ntopng.

Conclusion:
You’ve successfully set up ntopng with Docker, allowing you to monitor and analyze network traffic in real-time. ntopng’s web interface provides comprehensive insights into your network, helping you identify and troubleshoot potential issues. With Docker, managing ntopng becomes easier, and you can quickly deploy it in your network environment.

Happy network monitoring!

Introduction:
Node-RED is a powerful visual programming tool that allows you to easily create and manage flows for IoT applications. With Docker, you can run Node-RED in a containerized environment, making it portable and easy to maintain. In this guide, we’ll show you how to install Node-RED using Docker and manage backups for your flows.

Step 1: Install Node-RED with Docker
To install Node-RED, run the following Docker command:

docker run -d -p 1880:1880 -v nodered_data:/data --name mynodered nodered/node-red:latest

Explanation of options used:

• -d: Run the container in the background (detached mode).
• -p 1880:1880: Map port 1880 from the container to the host system. This allows you to access Node-RED from http://localhost:1880.
• -v nodered_data:/data: Create a Docker volume named “nodered_data” and mount it to the /data directory inside the container. This volume allows you to persist Node-RED data and configurations.
• --name mynodered: Assign the name “mynodered” to the container for easy management.
• nodered/node-red:latest: Use the latest Node-RED Docker image from Docker Hub.

Step 2: Creating a Backup Volume
To create a backup of your Node-RED flows and configurations, you can use the docker cp command. This command allows you to copy files and directories from a container to your host system.

docker cp mynodered:/data /your/backup/directory

Replace /your/backup/directory with the desired backup destination on your host system. This command will copy the contents of the /data directory inside the Node-RED container to your specified backup directory.

Step 3: Stopping Node-RED
To stop the Node-RED container, use the following command:

docker stop mynodered

This command will gracefully stop the Node-RED container, allowing any ongoing flows to finish processing.

Step 4: Deleting Node-RED Container
If you want to remove the Node-RED container, use the following command:

docker rm mynodered

This command will remove the “mynodered” container, but the data and configurations stored in the “nodered_data” volume will be preserved.

Conclusion:
You’ve successfully installed Node-RED using Docker, allowing you to easily manage and visualize your IoT application flows. Docker makes Node-RED deployment and maintenance a breeze, and you can also create backups of your flows and configurations for safekeeping. With Docker’s portability and scalability, you can take advantage of Node-RED’s full potential.

Happy flow building!

Introduction:
NFS (Network File System) allows you to share directories and files between systems over a network. In this guide, we’ll walk you through setting up an NFS server on your Raspberry Pi and sharing a directory with other systems.

Step 1: Install NFS Server
To install the NFS server package, run the following command:

sudo apt-get install nfs-kernel-server -y

Step 2: Create the NFS Share Directory
Next, create a directory that you want to share with other systems. In this example, we’ll use /mnt/nfsshare:

sudo mkdir /mnt/nfsshare

Step 3: Set Permissions for the NFS Share
For the NFS share to be accessible, we need to set appropriate permissions on the shared directory. In this example, we’ll set the permissions to allow everyone full access. Note that this configuration might not be suitable for production systems.

sudo chmod 777 /mnt/nfsshare

Step 4: Configure the NFS Export
Open the /etc/exports file in a text editor:

sudo vi /etc/exports

Insert the following line at the end of the file to define the NFS share:

/mnt/nfsshare *(rw,no_root_squash,insecure,async,no_subtree_check,anonuid=1000,anongid=1000)

Explanation of the options used:

• *: Allow any client to access the share.
• rw: Allow read and write access to the share.
• no_root_squash: Preserve the root user’s identity from the client-side (use with caution).
• insecure: Allow the use of non-privileged ports for NFS.
• async: Improve performance by allowing asynchronous writes to the shared directory.
• no_subtree_check: Disable subtree checking to improve performance.
• anonuid=1000 and anongid=1000: Map the anonymous user to the UID and GID 1000, which typically represents the first regular user on most systems.

Step 5: Activate the NFS Export
After modifying the /etc/exports file, apply the changes using the following command:

sudo exportfs -ra

Step 6: Start NFS Services
Start the NFS services to make the shared directory accessible:

sudo systemctl start nfs-kernel-server

Step 7: Enable NFS Services on Boot
To ensure the NFS services start automatically on boot, enable them with the following command:

sudo systemctl enable nfs-kernel-server

Conclusion:
Congratulations! You have successfully set up an NFS server on your Raspberry Pi. The /mnt/nfsshare directory is now shared with other systems on the network. You can access this NFS share from other machines using the appropriate mount command.

Please note that for production environments or when sharing with specific clients, you should consider setting more secure and restricted permissions in the /etc/exports file.

Happy sharing!