Adeotan Lambe Adeotan

## kubernetes.md

      
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                Adeotan
                / kubernetes.md
            
            
              Created
              November 12, 2022 11:56
                — forked from xmlking/kubernetes.md
            
              
                Kubernetes Cheat Sheet
              
          
    Kubernetes

Install

Prerequisites


Bash v5+ checkout Upgrading Bash on macOS
bash-completion@2

Install Docker and Kubernetes(k8s)


## How-to-Integrate-HashiCorp-Vault-With-Jenkins.md

      
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                Adeotan
                / How-to-Integrate-HashiCorp-Vault-With-Jenkins.md
            
            
              Created
              July 19, 2022 11:21
                — forked from darinpope/How-to-Integrate-HashiCorp-Vault-With-Jenkins.md
            
          
    Gist for https://youtu.be/5-RMu9M_Anc
Install Vault on CentOS 7.9

For more details, refer to https://learn.hashicorp.com/tutorials/vault/getting-started-install

sudo yum install -y yum-utils
sudo yum-config-manager --add-repo https://rpm.releases.hashicorp.com/RHEL/hashicorp.repo
sudo yum -y install vault
Copy the following to /etc/vault.d/vault.hcl


## cpuman-perf-test-tf-resnet-dockerfile
FROM python:3.6.4-slim-stretch

RUN apt-get update && apt-get install -y build-essential git time

RUN pip install https://anaconda.org/intel/tensorflow/1.6.0/download/tensorflow-1.6.0-cp36-cp36m-linux_x86_64.whl

RUN git clone https://github.com/tensorflow/models.git
ENV PYTHONPATH $PYTHONPATH:$HOME/models
WORKDIR $HOME/models/official/resnet/
RUN pip3 install -r ../requirements.txt

## cpuman-perf-test-stress-pod.yaml
apiVersion: v1
kind: Pod
metadata:
  name: stress-pod
spec:
  containers:
  - image: gcr.io/google-containers/stress:v1
    args: ["-cpus", "48"]
    name: stress-container
    resources:

## cpuman-perf-test-tf.yaml
apiVersion: v1
kind: Pod
metadata:
  name: tf-wide-deep-census-pod
spec:
  containers:
  - image: <insert-image>
    command: ["/bin/sh"]
    args: ["-c", "/usr/bin/time python ./wide_deep.py --model_type=wide_deep --train_epochs=500 --epochs_between_eval=500 --batch_size=32561"]
    name: tf-wide-deep-census

## cpuman-perf-test-tf-wide-deep-dockerfile
FROM python:3.6-slim-stretch

RUN apt-get update && apt-get install -y git time

RUN pip install https://anaconda.org/intel/tensorflow/1.6.0/download/tensorflow-1.6.0-cp36-cp36m-linux_x86_64.whl

RUN git clone https://github.com/tensorflow/models.git
ENV PYTHONPATH $PYTHONPATH:$HOME/models
WORKDIR $HOME/models/official/wide_deep
RUN python ./data_download.py

## coach-dockerfile-base
FROM nvidia/cuda:9.0-cudnn7-runtime-ubuntu16.04

################################
# Install apt-get Requirements #
################################

# General
RUN apt-get update && \
    apt-get install -y python3-pip cmake zlib1g-dev python3-tk python-opencv \
    # Boost libraries

## coach-dockerfile-mujoco
FROM coach-base:master as builder

# prep mujoco and any of its related requirements.
# Mujoco
RUN mkdir -p ~/.mujoco \
    && wget https://www.roboti.us/download/mjpro150_linux.zip -O mujoco.zip \
    && unzip -n mujoco.zip -d ~/.mujoco \
    && rm mujoco.zip
ARG MUJOCO_KEY
ENV MUJOCO_KEY=$MUJOCO_KEY

## coach-dockerfile-gym
FROM coach-base:master as builder

# prep gym and any of its related requirements.
RUN pip3 install gym[atari,box2d,classic_control]==0.10.5

# add coach source starting with files that could trigger
# re-build if dependencies change.
RUN mkdir /root/src
COPY setup.py /root/src/.
COPY requirements.txt /root/src/.

## cpuman-perf-test-parsec-pod.yaml
apiVersion: v1
kind: Pod
metadata:
  name: parsec-pod
spec:
  containers:
    # See https://github.com/Spirals-Team/benchmark-containers/tree/master/parsec-3.0 for more information on image.
  - image: spirals/parsec-3.0
    command: ["/bin/bash"]
    # Change args to run the workload.
	FROM python:3.6.4-slim-stretch

	RUN apt-get update && apt-get install -y build-essential git time

	RUN pip install https://anaconda.org/intel/tensorflow/1.6.0/download/tensorflow-1.6.0-cp36-cp36m-linux_x86_64.whl

	RUN git clone https://github.com/tensorflow/models.git
	ENV PYTHONPATH $PYTHONPATH:$HOME/models
	WORKDIR $HOME/models/official/resnet/
	RUN pip3 install -r ../requirements.txt
	apiVersion: v1
	kind: Pod
	metadata:
	name: stress-pod
	spec:
	containers:
	- image: gcr.io/google-containers/stress:v1
	args: ["-cpus", "48"]
	name: stress-container
	resources:
	FROM python:3.6-slim-stretch

	RUN apt-get update && apt-get install -y git time

	RUN pip install https://anaconda.org/intel/tensorflow/1.6.0/download/tensorflow-1.6.0-cp36-cp36m-linux_x86_64.whl

	RUN git clone https://github.com/tensorflow/models.git
	ENV PYTHONPATH $PYTHONPATH:$HOME/models
	WORKDIR $HOME/models/official/wide_deep
	RUN python ./data_download.py
	FROM nvidia/cuda:9.0-cudnn7-runtime-ubuntu16.04

	################################
	# Install apt-get Requirements #
	################################

	# General
	RUN apt-get update && \
	apt-get install -y python3-pip cmake zlib1g-dev python3-tk python-opencv \
	# Boost libraries
	FROM coach-base:master as builder

	# prep mujoco and any of its related requirements.
	# Mujoco
	RUN mkdir -p ~/.mujoco \
	&& wget https://www.roboti.us/download/mjpro150_linux.zip -O mujoco.zip \
	&& unzip -n mujoco.zip -d ~/.mujoco \
	&& rm mujoco.zip
	ARG MUJOCO_KEY
	ENV MUJOCO_KEY=$MUJOCO_KEY
	FROM coach-base:master as builder

	# prep gym and any of its related requirements.
	RUN pip3 install gym[atari,box2d,classic_control]==0.10.5

	# add coach source starting with files that could trigger
	# re-build if dependencies change.
	RUN mkdir /root/src
	COPY setup.py /root/src/.
	COPY requirements.txt /root/src/.