akhan4u

# Exercise 1: EKS + ECR - Containerized Application Deployment

# Goal
Deploy a containerized application using Amazon EKS and manage container images with ECR.

# Steps
1. Containerize your application using Docker.
2. Push the Docker image to Amazon ECR.
3. Set up an Amazon EKS cluster.
4. Configure access from EKS to ECR.

akhan4u

EXPR Syntax	Bash Equiv	Meaning
SEE NOTE 1	"${ARG1:-$ARG2}"	ARG1 if it is neither null nor 0, otherwise ARG2
ARG1 & ARG2

akhan4u

# Prerequisites:
# [GNU Parallel](https://www.gnu.org/software/parallel/)
# [kubectl-neat](https://github.com/itaysk/kubectl-neat)
# [mikefarah/yq](https://github.com/mikefarah/yq)
# 
# Usage:
# - Copy and paste the below into your active shell session. Alternatively, add to your shell initialization scripts.
# - kubectl_export <namespace>
# The folder structure will be created: <namespace>/<kind>/<resource_name>.yaml
#

akhan4u

Kubernetes Learning Roadmap

1. Prerequisites

• Learn Container concepts & Gets Hands on with Docker ^{Complete Guide}
• Understand Distributed system ^Blog
• Understand Authentication & Authorization ^Blog
• Learn Basics of Key Value Store^Blog
• Learn the basics of REST API^Blog
• Learn YAML^Blog

akhan4u

Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project:

akhan4u

#! /bin/bash

# ECHO COMMAND
# echo Hello World!

# VARIABLES
# Uppercase by convention
# Letters, numbers, underscores
NAME="Bob"
# echo "My name is $NAME"

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#!/bin/sh
# Only Run If Any Cloudformation Template Is Modified And Checks Linting Of The Template
#------------------
RED='\033[0;31m'
GREEN='\033[0;32m'
NC='\033[0m'
#------------------

FILES=$(git diff --cached --name-only --diff-filter=ACMR "*.yml" "*.yaml" | sed 's| |\\ |g')

akhan4u

1. Guided Self learning (https://linuxjourney.com)
2. Best one liners for linux command line (https://www.commandlinefu.com/commands/browse)
3. Find files in linux from command line (https://linuxize.com/post/how-to-find-files-in-linux-using-the-command-line)
4. Improve your typing speed on the command line with this awesome tool! (https://github.com/balzss/cli-typer)
5. An interactive cheatsheet tool for the command-line (https://github.com/denisidoro/navi)
6. Customize your shell environment to next level (https://github.com/alebcay/awesome-shell)
7. I find it useful to learn new things with the self learning courses offered by github (https://lab.github.com)
8. A static analysis tool for shell scripts (https://github.com/koalaman/shellcheck)
9. A good collection of bash snippets if you are starting to learn about shell scripts in linux (https://github.com/alexanderepstein/Bash-Snippets)
10. Linux workshop 10 days (https://linuxessentials.netlify.app)

akhan4u

import boto3, os, botocore, traceback
from botocore.exceptions import ClientError

s3 = boto3.client('s3')

# READ VALUES FROM ENVIRONMENT VARIABLES
source_s3_bucket = os.environ['source_s3_bucket']

#kms_keyid = os.environ['Kms_Keyid']

akhan4u

#!/bin/bash

distribution=$(. /etc/os-release;echo $ID$VERSION_ID)

echo -e "Installing nvidia-docker2 for $distribution"

curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
    sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \