AlexAtkinson

#!/usr/bin/env bash

shell=$(awk -F/ '{print $NF}'<<<$SHELL)

# Detect target rc file.
[[ -f $HOME/.bash_profile && $shell =~ "bash" ]] && targ="$HOME/.bash_profile" # MacOS Bash
[[ -f $HOME/.zshrc && $shell =~ "zsh" ]] && targ="$HOME/.zshrc"                # MacOS ZSH
[[ -f $HOME/.bashrc && $shell =~ "bash" ]] && targ="$HOME/.bashrc"             # Linux

if [[ ! -n ${targ+x} ]]; then

AlexAtkinson

Artifacting

RELATED: Versioning.md

This primer on artifacting demonstrates how to package files as zip and tar.gz, leverage a .artifactignore file similar to .gitignore, and generate and use a checksum file.

Artifacting is the process of packaging a project for distribution and/or release, and is essential to the SDLC as it mitigates many risks in both producing and consuming software products. Aside from archives, there are binaries and other language specific formats and frameworks that have their own packaging methods, but they are outside of the scope of this document. If you're interested, the serverless packaging mechanism is a good demonstration of some of the same concpets discussed here.

Generally artifacts should conform to a standard naming scheme such as: '\_.'.

AlexAtkinson

#!/usr/bin/env groovy
# Requires the following envars:
#   - SRC_ENV    : The source env/awscli profile for of the ecr repo to pull from.
#   - ECR_REPO   : The name of the ecr repository to pull from.
#   - AWS_REGION : The AWS Region of the source repo
# This assuems the jenkins host is setup with aws profiles.

def getOptions() {
    return (["/bin/bash", "-c", "aws --profile ${SRC_ENV} --region ${AWS_REGION} ecr describe-images --repository-name ${env.ECR_REPO} --query 'reverse(sort_by(imageDetails,& imagePushedAt))[0:24].imageTags' --output text | sed 's/[[:blank:]]/\\n/g' | sed '/latest/d; /SNAPSHOT/d' | sed ':a;N;\$!ba;s/\\n/ /g; s/\\s\$/\\n/g'"].execute().text.tokenize())
}

AlexAtkinson

name: Constructed Secrets

on:
  workflow_dispatch:
    inputs:
      string:
        description: "String"
        required: true
      secret:
        description: "Secret"

AlexAtkinson

function os-info () { 
    keys=$@
    function help () { 
        echo -e "Try: NAME, PRETTY_NAME, VERSION_ID, VERSION, ID_LIKE"
        echo -e "REF: https://www.freedesktop.org/software/systemd/man/os-release.html"
        return 0
    }
    [[ $keys == '-h' ]] && help
    [[ $# -eq 0 ]] && help
    for key in "$@"; do

AlexAtkinson

[Desktop Entry]
Icon=/home/foouser/.local/share/JetBrains/Toolbox/toolbox.svg
Exec=/home/foouser/.local/share/JetBrains/Toolbox/bin/jetbrains-toolbox %u
Version=1.0
Type=Application
Categories=Development
Name=JetBrains Toolbox
StartupWMClass=jetbrains-toolbox
Terminal=false
MimeType=x-scheme-handler/jetbrains;

AlexAtkinson

#!/usr/bin/env bash
# nist-randomness-beacon-eg.sh
# --------------------------------------------------------------------------------
#
# Output:
#   Datetime: 2022-10-06T11:58:07
#   Previous: 29B7969259B18... 
#    Current: 97B0CAC685FD4...
#
# Resources:

AlexAtkinson

# A collection of variable validation examples for Terraform.
#
# Test with:
#   tf plan -var="environment=Development" -var="aws_region=us-east-2" -var="rds_password=zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzAZaz98><" -var="subnet_public_a=10.222.16.0/20" -var="subnet_database_a=10.10.10.0/28" -var="application=testing" -var="orchestration=linktourl" -var="department=department_foo" -var="company=coolcorp"

variable "company" {
  description = "The name of the company."
  type        = string
  nullable    = false
  default     = "CHANGEME"

AlexAtkinson

# .bashrc QoL adds.

# Ultra lazy...
alias urc='source ~/.bashrc'

# Save history immediately
shopt -s histappend
#PROMPT_COMMAND="history -a;$PROMPT_COMMAND"
# https://askubuntu.com/questions/67283/is-it-possible-to-make-writing-to-bash-history-immediate
export PROMPT_COMMAND="history -a; history -c; history -r; $PROMPT_COMMAND"

AlexAtkinson

Advanced Markdown Usage Cheatsheet

Github Flavoured Markdown

Github markdown is not strictly markdown (though, what is...?), and is referred to as Github Flavoured Markdown, making previewing .md files necessary to ensure you're getting what you intend.

Use the GitHub Markdown Preview extension.

Examples