AWS Fargate DevOps: Autoscaling with Terraform at practice
Deploy & scale web apps on AWS ECS Fargate with Terraform. Hands-on examples for optimization. Learn infrastructure as code!
Course Content
AWS Fargate DevOps: Autoscaling with Terraform at practice is an intermediate-level Udemy course taught by Sergii Demianchuk. It runs 2h 27m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 64 reviews, with 4,631 students enrolled. It is a paid course, last updated July 2025.
Master AWS Fargate Autoscaling with Terraform: Optimize Costs & Performance
Learn to deploy and manage scalable web applications on AWS using Fargate and Terraform. This course provides practical, ready-to-use code and clear explanations to help you implement robust autoscaling solutions. No starting from scratch – focus on applying solutions, not writing extensive boilerplate.
What You'll Learn:
- Deploy Web APIs & SQS Workers: Effectively deploy your web API applications and SQS worker processes on AWS Cloud using the power of AWS Fargate and Terraform.
- AWS ECS Fundamentals: Understand the core components of AWS ECS and learn how to deploy them using Terraform for streamlined infrastructure management.
- AWS Fargate Autoscaling: Gain expertise in autoscaling with AWS Fargate, understanding how it works to dynamically adjust resources based on demand.
- Autoscaling Policies: Create sophisticated autoscaling policies using various methods:
- Target Metric Values: Configure policies based on key metrics like CPU utilization.
- Predefined Step Increments & CloudWatch Alarms: Implement scaling based on predefined steps triggered by CloudWatch alarms.
- Custom CloudWatch Metrics: Develop autoscaling policies driven by custom metrics for granular control.
- Cost Optimization with Fargate: Learn to optimize your AWS Fargate costs through strategies like:
- CPU Architectures: Choosing the right CPU architecture for your workload.
- Savings Plans: Leveraging AWS Savings Plans for cost savings.
- Hybrid Fargate Spot Systems: Implementing hybrid Fargate Spot systems for further cost reduction.
Requirements:
- Active AWS account
- Active web domain (for demonstration)
- Basic Docker and web programming knowledge
- Fundamental Terraform knowledge
- Basic understanding of AWS concepts: VPC, EC2, subnets, security groups
- Familiarity with AWS ECS basics
Course Structure:
- Lab Environment Setup: Create a test web application and worker environment – no prior knowledge required.
- AWS Infrastructure Foundation: Build a foundational AWS infrastructure including ALB, SNS, SQS, and CloudWatch. Configure your real domain using Route 53 and Cloud Manager. Leverage pre-built Terraform modules for rapid deployment.
- AWS Fargate Deep Dive: Explore the core components of AWS Fargate and deploy your test API application to achieve your desired architecture.
- Autoscaling Strategies: Master various autoscaling techniques, including target metric values, predefined step increments, CloudWatch alarms, and custom metrics. Learn to utilize CPU and memory utilization metrics for dynamic scaling.
- Fargate Cost Management: Analyze Fargate costs, compare them to EC2 pricing, and implement cost-saving strategies like CPU architecture selection, Savings Plans, and hybrid Fargate Spot systems.
Who is this course for?
- Software Engineers
- DevOps Engineers
- System Administrators
- CTOs
- CEOs
- Anyone interested in autoscaling or responsible for web resources.
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