DevOps Deployment Automation with Terraform, AWS and Docker
Welcome to the advanced course on how to set up a deployment automation that’s capable of handling millions of users.
Course URL: https://londonapp.dev/youtube-devops-...
In this course you will learn some of the most in-demand skills in the marketplace today by creating automated workflows to deploy and manage a scalable and secure infrastructure.
The demand for DevOps engineers is skyrocketing because few people have these skills and the value they add to a business’s bottom line is so high. Software development is expensive, and DevOps saves money by automating and streamlining the process. It also makes it easier to deploy more frequently, so you can catch issues early and improve the reliability of your product or service. Not to mention it saves hundreds of hours of manually administering servers and running deployments (like the good old days).
Whether you’re a developer, system administrator, or tech entrepreneur - this course will give you the tools to advance your skills in some of the most in-demand DevOps technologies in the marketplace.
In this course, you’ll be deploying a sample Django REST API to AWS using Terraform, GitLab, Docker and a suite of AWS technologies, including:
Elastic Container Registry (ECR)
Relational Database Service (RDS)
Elastic Container Service (ECS)
Application Load Balancer (ALB)
Elastic Cloud Compute (EC2)
Virtual Private Cloud (VPC)
Subnets
Gateways
Simple Storage Service (S3)
Route53
Identity and Access Management (IAM)
and AWS Certificate Manager (ACM)
This course was designed to deploy a Django application, but it will work for any web application that runs in Docker.
In this course, you will learn how to:
--Define your infrastructure as code so you can easily create and destroy environments as you need them, keeping AWS costs low
--Design an architecture that is scalable, secure, resilient and facilitates zero downtime deployments
--Setup professional development workflows based on GitLab Flow to automate processes and speed up deployments
--Properly manage and administer an AWS account in accordance with best practices to mitigate the risk of it getting compromised (and preventing AWS bill shock)
By the end of the course you will have implemented a fully functioning deployment process, comparable to what you might find at any major tech company.
This is an advanced course that requires previous experience with Django and Docker, and familiarity with AWS. It requires you to have a budget for AWS fees and an acceptable payment method. You must also have a computer that can run Docker desktop (sorry Windows Home users).
Take the course: https://londonapp.dev/youtube-devops-...
CHECK OUT ALL OUR COURSES
➡️ DevOps Deployment Automation with Terraform, AWS and Docker: https://londonapp.dev/youtube-devops-aws
➡️ Deploy a Serverless Django app on Google App Engine: https://londonapp.dev/youtube-google-...
➡️ Build a Backend REST API with Python & Django - Advanced: https://londonapp.dev/youtube-django-...
➡️ Build a Backend REST API with Python & Django - Beginner: https://londonapp.dev/youtube-django-...
➡️ Python for Absolute Beginners: https://londonapp.dev/youtube-python-...
