Board Infinity
Deploying & Scaling Spring Boot Applications

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Board Infinity

Deploying & Scaling Spring Boot Applications

Board Infinity

Instructor: Board Infinity

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Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build Docker containers for Spring Boot applications with environment configs

  • Deploy containerized apps to AWS ECS with Fargate and secure IAM roles

  • Apply CI/CD pipelines using Jenkins and GitHub Actions for Spring Boot apps

  • Implement monitoring, scaling, and troubleshooting strategies for Spring Boot applications using Spring Actuator, AWS CloudWatch, & ECS Auto-Scaling.

Details to know

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Recently updated!

June 2025

Assessments

17 assignments

Taught in English

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This course is part of the Spring and Spring Boot Development Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

This module establishes the foundational knowledge required to confidently deploy Spring Boot applications in modern environments. It begins by exploring the critical shift from traditional server-based deployment to cloud-native paradigms, outlining the benefits of scalability, resilience, and automation. Learners will examine different deployment strategies—from standalone executables to container-based workflows—and understand the lifecycle of a Spring Boot application in production. The module also covers essential readiness practices such as environment configuration, externalized properties, and profiling to ensure applications are production-ready. By the end of this module, learners will be equipped to prepare their Spring Boot applications for deployment, assess infrastructure needs, and choose the appropriate deployment approach based on application context and scalability goals.

What's included

13 videos4 readings4 assignments1 discussion prompt1 plugin

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.

What's included

11 videos3 readings4 assignments

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.

What's included

10 videos3 readings4 assignments

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.

What's included

14 videos4 readings5 assignments

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Board Infinity
Board Infinity
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