Install on Docker

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Install on Docker
There are a few variations on how to install the Ardexa agent inside a docker container (depending on your use case), but in this article we will be focusing on building a single use container that behaves just like a Linux Machine.
Step 1: Create a new device
Open the Ardexa Web UI, browse to the Devices tab and click New Device
Give the new device a name, select Linux 64 bit (x86_64), and then click Create
Download and unizp the agentPack
Copy the deb file into the same directory as the Dockerfile (see below)
Note down the agent version listed in the deb filename
Rename the deb file to simply ardexa.deb
Step 2: Create the Docker image
Add the following content to your Dockerfile.
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FROM debian:buster
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ENV container docker
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COPY ardexa.deb /
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RUN apt-get update \
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 && apt-get install -y procps unzip systemd lsb-base \
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    python3 python3-pip nmap arp-scan wget \
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 && apt-get install -y --no-install-recommends at \
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 && rm -f /sbin/init \
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 && ln -sf ../lib/systemd/systemd /sbin/init \
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 && dpkg -i /ardexa.deb
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RUN systemctl enable ardexa
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STOPSIGNAL SIGRTMIN+3
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CMD ["/sbin/init"]
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VOLUME ["/etc/ardexa", "/opt/ardexa/logs"]
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Then build the image. We recommend giving the image the same name as Step 1 and tagging it with the agent version.
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docker build -t ardexa_docker_agent:2.4.2 .
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Step 3: Launch the container
To allow systemd to run successfully inside a container, it needs some special treatment. We also want the container to run in the background and keep running even if we reboot the machine. The following docker command will launch the container with all the necessary privileges and flags.
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docker run --restart unless-stopped -d --name ardexa_docker_agent --privileged \
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  --tmpfs /tmp --tmpfs /run --tmpfs /run/lock \
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  -v /sys/fs/cgroup:/sys/fs/cgroup:ro ardexa_docker_agent:2.4.2
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Step 4: Data collection
Now that your agent container is up and running, you can focus on data collection. Given that this is somewhat unique to every use case, we encourage you to reach out to your account manager for suggestions on how best to meet your needs.
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Last modified 1yr ago
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Contents
Step 1: Create a new device
Step 2: Create the Docker image
Step 3: Launch the container
Step 4: Data collection