Welcome to the AWS Containers lesson. While Serverless functions (like AWS Lambda) are fantastic for new event-driven microservices, many legacy applications and complex service architectures are built and deployed using Containers (like Docker).
Containers are widely recognized as the industry standard for packaging and deploying modern software. They ensure your application runs identically on your local laptop, a testing server, and the production AWS cloud. Knowing how to securely host and scale them in AWS is a critical skill for DevOps engineers and modern software developers.
In this tutorial, you will learn:
A container is a highly standardized unit of software that safely packages up code and all its required dependencies (libraries, frameworks, and configuration files) so the application runs quickly, reliably, and consistently from one computing environment to another. Docker is by far the most widely used containerization platform in the world today.
When you have hundreds of individual containers running in production, you need an automated way to manage, scale, and monitor them. This is called "Container Orchestration". AWS provides two primary orchestration tools for this task:
What technical architecture feature makes a Container much more lightweight and significantly faster to boot than a traditional Virtual Machine?