# 5 Terraform commands you should know: 1. terraform init: https://developer.hashicorp.com/terraform/cli/commands/init 2. terraform plan: https://developer.hashicorp.com/terraform/cli/commands/plan 3. terraform apply: https://developer.hashicorp.com/terraform/cli/commands/apply 4. terraform import: https://developer.hashicorp.com/terraform/cli/import 5. 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.