This module introduces learners to the essential concepts and practices of containerizing Spring Boot applications using Docker. Beginning with an overview of containerization and its advantages over traditional virtualization, the module guides learners through building lightweight, portable Docker images tailored for Spring Boot. Key topics include Dockerfile creation, multi-stage builds for optimization, and managing dependencies effectively. Learners will also explore how to run, test, and troubleshoot containers locally, and understand the foundational elements of container orchestration. By the end of this module, learners will have the practical skills to containerize Spring Boot applications efficiently, paving the way for scalable deployments in both development and production environments.

This module focuses on deploying containerized Spring Boot applications to the cloud using Amazon Elastic Container Service (ECS). Learners will begin by understanding the core concepts of ECS, including task definitions, clusters, and service management. The module then walks through the full deployment lifecycle—from pushing Docker images to Amazon Elastic Container Registry (ECR) to configuring ECS services for load balancing and auto-scaling. Emphasis is placed on best practices for securing cloud deployments, managing environment variables, and monitoring application health. By the end of this module, learners will be equipped to confidently deploy and manage Spring Boot applications on AWS ECS with production-grade reliability and scalability.

Module Description: This module equips learners with the critical skills needed to ensure that Spring Boot applications remain reliable, performant, and resilient at scale. It begins by exploring scaling strategies using cloud-native tools, including auto-scaling groups, horizontal pod autoscaling (in container orchestration), and load balancing techniques. Learners will also delve into monitoring solutions like Spring Boot Actuator, Prometheus, and Grafana to gain visibility into application health and performance. Finally, the module covers structured approaches to troubleshooting, including log aggregation, root cause analysis, and performance bottleneck resolution. By the end of this module, learners will be able to proactively monitor, scale, and troubleshoot Spring Boot applications in production environments.