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[Udemy, Arno Pretorius] Python Django for DevOps: Terraform, Render, Docker & CI/CD [4/2025, ENG]

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Post 25-May-2025 16:50

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Python Django for DevOps: Terraform, Render, Docker & CI/CD
 Год выпуска: 4/2025
Производитель: Udemy, Arno Pretorius
Сайт производителя: https://www.udemy.com/course/python-django-for-devops-terraform-render-docker-cicd/
Автор: Arno Pretorius
Продолжительность: 8h 27m 11s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Субтитры: Отсутствуют
Описание:
What you'll learn
  • Build a CI/CD pipeline – Orchestrate continuous integration & deployment with GitHub Actions
  • Differentiate between various cloud deployment models - Understand the difference between IaaS, PaaS and IaC
  • Deploy Django with Terraform – Implement Infrastructure as Code (IaC) for automated cloud deployments
  • Master dockerisation – Learn how to dockerise your Django application for seamless container deployment
  • Utilise GitHub Container Registry – Store, manage and deploy Docker images efficiently
  • Manage environment variables securely – Configure production-ready secrets and environment variables
  • Set up a production-ready database – Connect and manage a PostgreSQL database for Django in the cloud
  • Monitor Django applications – Learn how to set up basic monitoring and logging with Render
  • Optimise application performance – Understand error tracking, logging and monitoring strategies
Requirements
  • Fundamental knowledge of Django is required
  • You should also know the basics of HTML/CSS and JavaScript
  • Knowledge of DevOps would be advantageous
  • A strong and stable internet connection with no network configuration issues in terms of restrictions or limitations
Description
Welcome! I'm here to help you to master DevOps with Django, where you'll learn how to automate deployments, manage infrastructure with code and build a complete CI/CD pipeline.
-- Please read carefully --
This course is not for complete beginners. You should already have a basic understanding of Django and be comfortable with it.
This course focuses on developer-friendly DevOps workflows for deploying and managing Django web apps with Terraform, Docker, GitHub Actions, and Render. It doesn’t dive into Kubernetes or enterprise DevOps systems — instead, it gives you a solid, real-world foundation in DevOps practices from code to cloud.
This course is designed for developers who want to integrate DevOps principles into their Django applications. If you have basic Django knowledge and want to level up your skills, this course is for you! The focus is on Infrastructure as Code (IaC) and CI/CD. You’ll learn how to Dockerise Django applications, deploy them using Terraform, and automate workflows with GitHub Actions.
Course breakdown:
We will start by creating a simple Django project and then progressively integrate DevOps tools and best practices to automate deployments
Master dockerisation – Containerise your Django project for seamless deployment and scalability using Docker
Utilise GitHub Container Registry – Efficiently store, manage, and deploy Docker images directly from GitHub’s container registry
Secure environment variables – Learn best practices for managing secrets and environment configurations in production
Understand cloud deployment models – Explore the differences between IaaS, PaaS and IaC to make informed deployment decisions
Deploy Django with Terraform to Render – Leverage Infrastructure as Code (IaC) to automate and manage cloud infrastructure for Django applications. We will utilise the IaC format of Render as our cloud service provider
Set Up a production-ready database – Configure and integrate PostgreSQL in the cloud for a scalable Django backend
Build a CI/CD pipeline – Design and implement a fully automated continuous integration & deployment workflow using GitHub Actions
Monitor Django applications – Implement basic logging and monitoring with Render to track application performance
Optimise performance & error tracking – Enhance reliability with effective logging, error tracking and monitoring strategies
A structured, hands-on learning experience:
  • The course is structured in a logical and progressive way – not just random lectures scattered everywhere.
  • It starts with the basics and gradually builds up to full automation.
  • This course is packed with hands-on examples, code snippets and real-world applications.
  • We will learn how to use Terraform, Docker, and GitHub Actions to create an end-to-end DevOps pipeline for Django.
Your instructor:
My name is Arno Pretorius. I'm a qualified IT teacher who has taught programming both in-person and online. My main passions are teaching and technology, so I thought why not just combine the best of both worlds to create something truly amazing and valuable. Over the years, I have created and deployed many real-world Django-based applications, including a job portal for university graduates and an exclusive social network.
I'm a software developer, an AWS Solutions Architect and Developer associate. I have a keen interest in cloud computing, web development and everything that relates to programming and technology.
So, let's go and become fluent in Django, along with an extra service or two.
Trust me you are in good hands!
This course also comes with:
  • 8 + hours of on-demand video
  • Full lifetime access
  • A Udemy certificate of completion
  • Access on mobile and TV
Join me in this course if you want to master DevOps with Django!
Who this course is for:
  • Intermediate or advanced Django developers who want to learn about Infrastructure as Code and CI/CD
  • Junior DevOps developers looking to expand their skills
  • Developers or System administrators that are looking to expand their skills into DevOps
  • Django developers who want to learn how to make use of various DevOps tools
Формат видео: MP4
Видео: avc, 1280x720, 16:9, 30000к/с, 532 кб/с
Аудио: aac, 44.1 кгц, 128 кб/с, 2 аудио

MediaInfo

General
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Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 71.1 MiB
Duration : 14 min 51 s
Overall bit rate : 668 kb/s
Frame rate : 30.000 FPS
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