Overview What You Will Learn Curriculum Instructor

Course Overview

Infrastructure as Code has become a cornerstone of modern cloud engineering, enabling organizations to provision, manage, and scale infrastructure consistently through automation. Combined with AWS Fargate, Terraform allows developers and DevOps engineers to deploy containerized applications without managing servers, improving scalability, reliability, and operational efficiency. This course provides practical experience in building cloud-native infrastructure using industry-standard AWS services and Terraform.

This course begins with a Flask-based web application and its architecture before introducing Terraform for provisioning core AWS infrastructure, including networking, SNS, SQS, Application Load Balancers, and AWS Certificate Manager. You will then deploy containerized applications to Amazon ECS Fargate using Docker, Amazon ECR, IAM roles, task definitions, and target groups. The course continues with implementing CPU, memory, step-based, and SQS-driven autoscaling policies using Terraform, followed by testing real-world scaling scenarios. Finally, you will explore AWS Fargate pricing models, compare costs with EC2, and apply optimization techniques using ARM architectures, Fargate Spot, and Savings Plans.

By the end of this course, you will be able to automate, deploy, scale, and optimize containerized applications on AWS using Terraform and Amazon ECS Fargate.

What You Will Learn

  • Deploy a Web API application and SQS worker to AWS using AWS Fargate and Terraform.
  • Deploy core AWS ECS infrastructure on AWS Fargate using Terraform.
  • Understand AWS Fargate Auto Scaling and how it dynamically adjusts application capacity.
  • Implement target tracking Auto Scaling policies using Terraform.
  • Configure step scaling policies with Amazon CloudWatch alarms and Terraform.

Program Curriculum

  • Flask App - Local Environment
  • Flask App - Code Overview, How Application Works
  • Chapter 1 Quiz

  • Terraform Installation with tfenv
  • AWS Profile and Terraform Configuration
  • Running Base Terraform Scripts - Essential Introduction
  • Applying Terraform - Part 1: Pre-init, Network, and SNS Terraform Modules
  • Applying Terraform - Part 2: SQS Terraform Module, Testing Worker Mode
  • Applying Terraform - Part 3: ALB Terraform Module and AWS Certificate Manager
  • Applying Terraform - Part 4: AWS ALB Terraform Source Code
  • Applying Terraform - Part 5: General Architecture Scheme and Request Workflow
  • Chapter 2 Quiz

  • What is AWS Fargate?
  • Build Docker Image and Push It to the AWS ECR
  • Fargate Terraform Module Overview - Part 1: ECS Cluster, Network Configurations
  • Fargate Terraform Module Overview - Part 2: IAM Roles
  • Fargate Terraform Module Overview - Part 3: ECS Service
  • Fargate Terraform Module Overview - Part 4: Task Definition Template
  • Target Group Terraform Module and Implementation Code - Part 1
  • Target Group Terraform Module and Implementation Code - Part 2
  • AWS Fargate - Apply Terraform Code, AWS Console, Inside Container
  • Chapter 3 Quiz

  • Autoscaling Types and Use Cases Being Covered
  • When Should We Use Autoscaling?
  • Autoscaling Terraform Module with Predefined CPU and RAM Target Metrics
  • Testing Predefined CPU and Memory Autoscaling in Practice
  • Target Tracking Autoscaling Surprises
  • Step Autoscaling Terraform Module - Part 1
  • Step Autoscaling Terraform Module - Part 2
  • Applying Autoscaling with Predefined Custom SQS Metric, Testing Worker
  • Terraform Code Autoscaling with Predefined Custom SQS Metric
  • Testing Autoscaling with Predefined Custom SQS Metric in Practice
  • Autoscaling Summary
  • Chapter 4 Quiz

  • How Much Fargate Costs, Price Comparison with EC2
  • CPU Architecture and Saving Plans
  • Fargate Spot
  • Cost Optimization Recommendations
  • Chapter 5 Quiz
Load more modules

Instructor

Sergii Demianchuk

Sergii Demianchuk is a software engineering professional with nearly 20 years of experience in building scalable applications and cloud-based solutions. As the CTO and System Architect at Clicktrans, one of Europe's largest transport marketplaces, he specializes in system architecture, machine learning, big data, DevOps, cybersecurity, and AWS. His expertise spans technologies including Python, PHP, Java, JavaScript, Docker, Flask, Spring, Vue.js, MySQL, Redis, and Elasticsearch.

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