Udemy – DevOps Deployment Automation with Terraform, AWS and Dockera

Udemy – DevOps Deployment Automation with Terraform, AWS and Dockera
English | Size: 8.60 GB
Category: Tutorial


Welcome to the advanced course on customizing deployment automation that can handle millions of users! In this course, you will learn some of the most in-demand skills on the market by creating automated workflows for deploying and managing a scalable and secure infrastructure.

Demand for DevOps engineers is skyrocketing because few people have these skills, and the value they add to business profits 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 spot problems 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).

People in DevOps roles are some of the highest paid employees in the industry, the least looking for jobs, and most in demand by companies. (Source: Stack Overflow 2019 Developer Survey and Harsh Reality).

Needless to say, mastering the technology and skills used by DevOps is a big return on investment.

Whether you are a developer, sysadmin, or tech entrepreneur, this course will provide you with the tools to develop your skills in some of the most in-demand DevOps technologies on the market today.

In this course, you will deploy the Django REST API Sample to AWS using Terraform, GitLab, Docker, and the AWS suite of technologies, including:

Elastic Container Registry (ECR);
Relational Database Service (RDS);
Elastic Container Service (ECS);
Application Load Balancer (ALB);
Elastic Cloud Computing (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 for deploying a Django application, but it will work for any web application running in Docker.

In this course

Define your infrastructure as code so you can easily create and destroy environments as needed, keeping AWS costs low
Design a scalable, secure, resilient architecture for zero downtime deployments.
Customize professional development workflows with GitLab Flow to automate processes and speed up deployment.
Properly manage and administer your AWS account according to best practices to reduce the risk of being compromised (and prevent AWS account shock).
By the end of the course, you will have completed a fully functioning deployment process comparable to what you can find in any major technology company.

This is an advanced course that requires previous experience with Django and Docker, as well as knowledge of AWS. This requires you to have a budget for AWS fees and an acceptable method of payment. You must also have a computer that can run the Docker desktop (sorry Windows Home users).

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