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| # 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. |