initcron

Mini Project Spec: Host Your Resume on AWS S3

Introduction:

In this mini-project, you will learn how to use Amazon S3 to host your resume, creating a publicly accessible web-based version of your professional profile. This is a practical skill that can be applied in real-world scenarios, such as job applications or networking events.

Project Goal:

• To host an HTML version of your resume on AWS S3.

initcron

#!/bin/bash
sudo su
curl -O https://raw.githubusercontent.com/wp-cli/builds/gh-pages/phar/wp-cli.phar
chmod +x wp-cli.phar
sudo mv wp-cli.phar /usr/local/bin/wp
wp transient delete --all --path=/srv/www/wordpress --allow-root
wp option get siteurl --path=/srv/www/wordpress --allow-root
wp option get home --path=/srv/www/wordpress --allow-root

initcron

name: Test and Trigger Databricks Job

# Trigger the workflow on push to the main branch
on:
  push:
    branches:
      - main

jobs:
  test:

initcron

import pytest
import Mixed_Language_Demo as databrics_code  # Import the module

def test_dataframe_creation():
    """
    Test for the `create_dataframe` function
    """
    # Create the DataFrame
    df = databrics_code.create_dataframe()

initcron

name: Test Notebook Code

# Trigger the workflow on push events to all branches
on:
  push:
    branches:
      - '*'

jobs:
  test:

initcron

#!/bin/bash

echo "I: Installing Apache and PHP ..."

sudo apt update
sudo apt install -yq apache2 \
                 ghostscript \
                 libapache2-mod-php \
                 mysql-client \
                 php \

initcron

<IfModule mod_rewrite.c>
RewriteEngine On
RewriteRule .* - [E=HTTP_AUTHORIZATION:%{HTTP:Authorization}]
RewriteBase /
RewriteRule ^index\.php$ - [L]
RewriteCond %{REQUEST_FILENAME} !-f
RewriteCond %{REQUEST_FILENAME} !-d
RewriteRule . /index.php [L]
</IfModule>

initcron

MLOps Resources:

Resources

Introduction to MLOps : Introduction to MLOps MLOps Resources by GitHub: Machine Learning Ops CDF MLOps : ml-ops.org MlOps Tools Landscape: Machine Learning Tools Landscape v2 (+84 new tools) MLOps - CD and Automation Pipelines in ML by Google : MLOps: Continuous delivery and automation pipelines in machine learning  |  Cloud Architecture Center  |  Google Cloud

Communities

initcron

metadata:
  annotations:
    argocd-image-updater.argoproj.io/git-branch: main
    argocd-image-updater.argoproj.io/image-list: myimage=xxxxxx/vote
    argocd-image-updater.argoproj.io/myimage.allow-tags: regexp:^[0-9a-f]{7}$
    argocd-image-updater.argoproj.io/myimage.ignore-tags: latest, dev
    argocd-image-updater.argoproj.io/myimage.update-strategy: latest
    argocd-image-updater.argoproj.io/myimage.kustomize.image-name: schoolofdevops/vote
    argocd-image-updater.argoproj.io/myimage.force-update: "true"
    argocd-image-updater.argoproj.io/write-back-method: git:secret:argocd/git-creds

initcron

pipeline {
    agent none
    stages {
        stage('Run on multiple nodes') {
            matrix {
                axes {
                    axis {
                        name 'AGENT'
                        values 'node1', 'node2', 'node3'
                    }