5 Terraform commands you should know:

terraform init: https://developer.hashicorp.com/terraform/cli/commands/init
terraform plan: https://developer.hashicorp.com/terraform/cli/commands/plan
terraform apply: https://developer.hashicorp.com/terraform/cli/commands/apply
terraform import: https://developer.hashicorp.com/terraform/cli/import
terraform destroy: https://developer.hashicorp.com/terraform/cli/commands/destroy

Azure Resources TF Management:

Step	Title	Tasks
1	PreReqs	Terraform installed, Azure cloud account, VSCode extensions, Docker, ACR, Deploy and Test
2	Demo	Create resources in Azure cloud
3		Create terraform files for those resources
4		Run terraform apply
5		Run terraform import for each resource
6		Verify terraform state
7		Perform terraform destroy to clean up resources

Docker and Linux SOAR Setup:

Step	Title	Tasks
1	PreReqs	Docker, ACR, Deploy and Test
2	Demo	Modify Dockerfile to start and configure resources
3		Modify Docker base image to remove old apts w security issuesand cert issues
4		Modify Docker base image to configure soar and python components including packages, requirements
5		Run Docker push, deploy to ACR and test

Give me an analysis on what this dockerfile does: FROM nvidia/cuda:11.3.1-base-ubuntu20.04

ENV DEBIAN_FRONTEND=noninteractive
TZ=Europe/Paris

Remove any third-party apt sources to avoid issues with expiring keys.

Install some basic utilities

RUN rm -f /etc/apt/sources.list.d/.list &&
apt-get update && apt-get install -y
curl
ca-certificates
sudo
git
git-lfs
zip
unzip
htop
bzip2
libx11-6
build-essential
libsndfile-dev
software-properties-common
&& rm -rf /var/lib/apt/lists/

ARG BUILD_DATE ARG VERSION ARG CODE_RELEASE RUN
echo "**** install openvscode-server runtime dependencies " &&
apt-get update &&
apt-get install -y
jq
libatomic1
nano
net-tools
netcat &&
echo " install openvscode-server " &&
if [ -z ${CODE_RELEASE+x} ]; then
CODE_RELEASE=$(curl -sX GET "https://api.github.com/repos/gitpod-io/openvscode-server/releases/latest"
| awk '/tag_name/{print $4;exit}' FS='[""]'
| sed 's|^openvscode-server-v||');
fi &&
mkdir -p /app/openvscode-server &&
curl -o
/tmp/openvscode-server.tar.gz -L
"https://github.com/gitpod-io/openvscode-server/releases/download/openvscode-server-v${CODE_RELEASE}/openvscode-server-v${CODE_RELEASE}-linux-x64.tar.gz" &&
tar xf
/tmp/openvscode-server.tar.gz -C
/app/openvscode-server/ --strip-components=1 &&
echo " clean up ****" &&
apt-get clean &&
rm -rf
/tmp/*
/var/lib/apt/lists/*
/var/tmp/* COPY root/ /

RUN add-apt-repository ppa:flexiondotorg/nvtop &&
apt-get upgrade -y &&
apt-get install -y --no-install-recommends nvtop

RUN curl -sL https://deb.nodesource.com/setup_14.x | bash - &&
apt-get install -y nodejs &&
npm install -g configurable-http-proxy

Create a working directory

WORKDIR /app

Create a non-root user and switch to it

RUN adduser --disabled-password --gecos '' --shell /bin/bash user
&& chown -R user:user /app RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user USER user

All users can use /home/user as their home directory

ENV HOME=/home/user RUN mkdir $HOME/.cache $HOME/.config
&& chmod -R 777 $HOME

Set up the Conda environment

ENV CONDA_AUTO_UPDATE_CONDA=false
PATH=$HOME/miniconda/bin:$PATH RUN curl -sLo ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-py39_4.10.3-Linux-x86_64.sh
&& chmod +x ~/miniconda.sh
&& ~/miniconda.sh -b -p ~/miniconda
&& rm ~/miniconda.sh
&& conda clean -ya

WORKDIR $HOME/app

#######################################

Start root user section

#######################################

USER root

User Debian packages

Security warning : Potential user code executed as root (build time)

RUN --mount=target=/root/packages.txt,source=packages.txt
apt-get update &&
xargs -r -a /root/packages.txt apt-get install -y --no-install-recommends
&& rm -rf /var/lib/apt/lists/*

RUN --mount=target=/root/on_startup.sh,source=on_startup.sh,readwrite
bash /root/on_startup.sh

#######################################

End root user section

#######################################

USER user

Python packages

RUN --mount=target=requirements.txt,source=requirements.txt
pip install --no-cache-dir --upgrade -r requirements.txt

Copy the current directory contents into the container at $HOME/app setting the owner to the user

COPY --chown=user . $HOME/app

RUN chmod +x start_server.sh

ENV PYTHONUNBUFFERED=1
GRADIO_ALLOW_FLAGGING=never
GRADIO_NUM_PORTS=1
GRADIO_SERVER_NAME=0.0.0.0
GRADIO_THEME=huggingface
SYSTEM=spaces
SHELL=/bin/bash

EXPOSE 7860 3000

CMD ["./start_server.sh"] This Dockerfile describes the steps to create a Docker image with an environment that includes various tools, libraries, and applications. The image is based on the nvidia/cuda:11.3.1-base-ubuntu20.04 image, which is a Ubuntu 20.04 base image with NVIDIA CUDA 11.3.1 libraries pre-installed. The steps in this Dockerfile can be broken down as follows:

Set environment variables:

Set the timezone to Europe/Paris Set the Debian frontend to noninteractive mode for silent installations Remove third-party apt sources to avoid issues with expiring keys.

Install basic utilities and libraries using apt-get.

Install the OpenVSCode-Server, which is an open-source version of VSCode Server, allowing you to run a remote VSCode environment.

Add the flexiondotorg/nvtop repository and install the NVTop GPU monitoring tool.

Install Node.js 14.x and the configurable-http-proxy package.

Create a non-root user named user and set appropriate permissions.

Set up the Conda environment with Miniconda3 and Python 3.9.

Install user-specified Debian packages by reading from a packages.txt file.

Execute a script named on_startup.sh as the root user.

Switch back to the non-root user user.

Install Python packages specified in a requirements.txt file.

Copy the current directory contents into the container at $HOME/app.

Set environment variables for Gradio and other configurations.

Expose ports 7860 and 3000.

Set the CMD to execute the start_server.sh script when the container starts.

This Dockerfile sets up a development environment with NVIDIA CUDA support, a Conda environment, OpenVSCode-Server, NVTop, and various other utilities. It also installs user-specified Debian and Python packages, and runs a user-specified script at startup. The image is prepared to run a server using Gradio, a library for creating web-based UIs for ML models, and exposes two ports for external communication.