Docker in AWS - Deploy Java Spring Boot to AWS Fargate & ECS from Udemy

AWS ECS and AWS Fargate make it amazingly easy to orchestrate your Docker containerized applications. How about learning AWS ECS and AWS Fargate deploying Docker based Java, Spring Boot Microservices?

Do you have ZERO experience with Amazon Web Services (AWS) or ECS or AWS Fargate? No Problem.

Learn AWS Fundamentals? Yes. Deploy Microservices to AWS? Yes. Learn ECS and AWS Fargate? Yes. Of Course. Hands-on? Of course.

Do you want to learn to deploy Spring Boot Docker Containers to Amazon Web Services using Elastic Container Service - ECS and AWS Fargate with an easy to learn, step by step approach?

Are you ready to learn about the cloud with Amazon Web Services (AWS) and take the next step in your programming career?

Do you want to join 500,000+ learners having Amazing Learning Experiences with in28Minutes?

Look No Further.

WHAT STUDENTS ARE SAYING:

5 STARS - The best instructor. Takes you thru difficult material with ease.

5 STARS - The course is great. I like that everything is explained based on real-life examples.

5 STARS - I am really happy to come across this course in time of need.I really liked the explanation around the CI/CD pipeline creation for ECS deployment and the videos around Canary deployment.

5 STARS - Easy to follow along; all the content is very well organized in readme files and GitHub. Thank you.

5 STARS - Great course, it contains many good tips and go deeper into the many details

COURSE OVERVIEW

AWS (Amazon Web Services) is the No 1 Cloud Service Provider today. Spring Boot is the No 1 Java Framework to develop

How about learning AWS by deploying Spring Boot Docker Containers to Amazon Web Services using Elastic Container Service - ECS and AWS Fargate?

This course would be a perfect first step as an introduction to Amazon Web Services - AWS and the Cloud.

In this course, we deploy a variety of Java Spring Boot Microservices to Amazon Web Services using AWS Fargate and ECS - Elastic Container Service.

You will learn the basics of implementing Container Orchestration with ECS (Elastic Container Service) - Cluster, Task Definitions, Tasks, Containers and Services. You will learn about the two launch types of ECS - EC2 and AWS Fargate. In this course, we would focus extensively on AWS Fargate to simplify your Container Orchestration. You will learn to deploy multiple containers in the same ECS task.

You will learn to Build Container Images for your Java Spring Boot Microservice Projects.

You will implement the following features for your Microservices

Centralized Configuration Management with AWS Parameter Store
Distributed Tracing with AWS X Ray
Auto Scaling and Load Balancing with ECS, Elastic Load Balancers and Target Groups
Service Mesh using AWS App Mesh. You will learn the basics of AWS App Mesh - Mesh, Virtual Nodes and Virtual Services. You will learn to perform Canary Deployments using AWS AppMesh.
Service Discovery with Route 53 Hosted Zones and DNS.
Continuous Integration and Continuous Deployment with AWS Code Pipeline

You will learn to debug problems with deploying containers using Service events and AWS CloudWatch logs.

You will learn about automating deployments and creating a continuous delivery pipeline with AWS Code Pipeline. You will learn how to Auto Scale applications based on load as well as deploy multiple instances behind a load balancer using

You will be using a number of AWS Services - ECS - Elastic Container Services, AWS Fargate, EC2 - Elastic Compute Cloud

You will be using deploying a variety of projects to Amazon Web Services (AWS). These projects are created with Spring Boot ( We will help you set up each one of these.

Start Learning Now. Hit the Enroll Button.

COURSE Hit the Enroll Button.

What's inside

Learning objectives

You will learn the fundamentals of amazon web services from zero, no previous experience required
You will learn to deploy spring boot rest api and microservices to aws with aws fargate and ecs
You will learn the basics of implementing container orchestration with ecs (elastic container service) - cluster, task definitions, tasks, containers and services
You will learn to build container images for your java spring boot microservice projects
You will learn about the two launch types of ecs - ec2 and aws fargate
You will learn to debug problems with deploying containers using service events and aws cloudwatch logs
You will be using a number of aws services - ecs - elastic container services, aws fargate, ec2 - elastic compute cloud, s3, aws codepipeline, aws codebuild, iam, cloudwatch, elb, target groups, x ray, aws parameter store, aws app mesh and route 53
You will learn to create a continuous delivery pipeline with aws code pipeline

You will learn how to auto scale applications based on load as well as deploy multiple instances behind a load balancer using aws fargate.
You will learn to implement centralized configuration management for your java spring boot microservices with aws parameter store
You will learn to implement distributed tracing for java spring boot microservices with aws x ray
You will learn the basics of aws app mesh - mesh, virtual nodes and virtual services. you will learn to perform canary deployments for java spring boot microservices using aws appmesh.
You will join 300,000 learners having amazing learning experiences with in28minutes
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You will learn the fundamentals of amazon web services from zero, no previous experience required
You will learn to deploy spring boot rest api and microservices to aws with aws fargate and ecs
You will learn the basics of implementing container orchestration with ecs (elastic container service) - cluster, task definitions, tasks, containers and services
You will learn to build container images for your java spring boot microservice projects
You will learn about the two launch types of ecs - ec2 and aws fargate
You will learn to debug problems with deploying containers using service events and aws cloudwatch logs
You will be using a number of aws services - ecs - elastic container services, aws fargate, ec2 - elastic compute cloud, s3, aws codepipeline, aws codebuild, iam, cloudwatch, elb, target groups, x ray, aws parameter store, aws app mesh and route 53
You will learn to create a continuous delivery pipeline with aws code pipeline
You will learn how to auto scale applications based on load as well as deploy multiple instances behind a load balancer using aws fargate.
You will learn to implement centralized configuration management for your java spring boot microservices with aws parameter store
You will learn to implement distributed tracing for java spring boot microservices with aws x ray
You will learn the basics of aws app mesh - mesh, virtual nodes and virtual services. you will learn to perform canary deployments for java spring boot microservices using aws appmesh.
You will join 300,000 learners having amazing learning experiences with in28minutes
Show more
Show less

Syllabus

Deploying Spring Boot Microservices with ECS and AWS Fargate - Introduction

Deploying Spring Boot Microservices with ECS and AWS Fargate - Getting Started

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Taught by Ravi S, who is recognized for their work in DevOps and Kubernetes

Develops skills in Docker and Kubernetes, which are core skills for DevOps engineers

Coursework is reinforced through hands-on labs and interactive materials

Covers unique perspectives and ideas that may add color to other topics and subjects

Teaches skills and knowledge that are highly relevant in an academic setting

Teaches skills and knowledge that are highly relevant to industry

Reviews summary

Docker & spring boot on aws deployment

According to students, this course offers an exceptionally practical and hands-on approach to deploying Java Spring Boot microservices with Docker on AWS Fargate and ECS. Learners commend the instructor's clear and easy-to-understand explanations, making complex topics accessible even for those with zero prior AWS or Docker experience. Key features like CI/CD pipelines with AWS CodePipeline, distributed tracing with X-Ray, and canary deployments using AWS App Mesh are particularly highlighted as valuable. While some find the AWS console UI sometimes outdated, the core content remains highly relevant and is considered a game-changer for career development in cloud-native deployments, especially for Java developers.

Basic Java and Spring Boot knowledge is recommended.

"Good course, but definitely requires a basic understanding of Java and Spring Boot. If you're completely new to both, you might struggle."

"I had basic Java knowledge but was completely new to Docker and AWS Fargate, and now I feel confident deploying Spring Boot apps."

"I needed to deploy a Java Spring Boot application to AWS and had no idea where to start. This course was a lifesaver!"

Highly valuable for career advancement in cloud development.

"This course is a game-changer for my career."

"A must-take for any Java developer wanting to move to the cloud."

"Absolutely essential for Java developers in cloud."

"The course overall is well-structured and highly relevant for modern microservices deployment."

Course offers extensive practical labs and real-world projects.

"The hands-on labs were incredibly helpful, especially the CI/CD pipeline setup with CodePipeline."

"Outstanding practical course! It covers everything from setting up the environment to advanced topics."

"The hands-on approach is superb. The instructor is very clear and precise."

"This course delivers on its promise... The step-by-step approach and clear explanations made it so easy."

"Very thorough and practical! The best part is how it combines Spring Boot, Docker, and various AWS services."

Instructor simplifies complex concepts effectively.

"The instructor explains complex concepts in a clear, easy-to-understand way."

"The instructor's explanations are spot on, and the code examples are well-maintained on GitHub."

"I found the instructor to be very clear and precise in their teaching."

"The content is well-organized, and the instructor's teaching style is very effective."

AWS console interface often differs, causing minor confusion.

"Some minor AWS console UI changes caused confusion, though the instructor usually provides updates in Q&A."

"Some parts could be updated to reflect latest AWS console changes, but overall a valuable resource."

"I found some parts of the course outdated, specifically regarding the AWS console interface."

"It makes it harder to follow along. The core concepts are still relevant, but a refresh of the video material would be beneficial."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Docker in AWS - Deploy Java Spring Boot to AWS Fargate & ECS with these activities:

Build and Deploy Docker Images

Show steps

Strengthen your understanding of building and deploying Docker images to prepare for the course

Browse courses on Dockerfile

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Create a Dockerfile for a simple application
Build the Docker image using Docker CLI
Deploy the Docker image to a local registry or Docker Hub
Use Docker Compose to manage multiple containers

Review AWS Fundamentals

Show steps

Review the fundamentals of cloud computing and Amazon Web Services (AWS) to prepare for the course

Show steps

Review online documentation or tutorials on AWS fundamentals
Create an AWS account and explore the AWS console
Complete the AWS Cloud Practitioner Essentials course on AWS Training and Certification

Design and Implement a Simple Microservice using ECS and Fargate

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Apply your knowledge by designing and implementing a simple microservice using AWS ECS and Fargate to reinforce the concepts covered in the course

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Design the architecture of the microservice, including components, communication, and data storage
Create and configure the necessary AWS resources using CloudFormation or Terraform
Develop and deploy the microservice application using Java and Docker
Test the functionality and performance of the deployed microservice

Show all three activities

Career center

Learners who complete Docker in AWS - Deploy Java Spring Boot to AWS Fargate & ECS will develop knowledge and skills that may be useful to these careers:

Cloud Architect

Cloud Architects design and implement cloud computing solutions. This course can serve as a valuable resource for Cloud Architects looking to learn more about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

See salaries and explore the career path for Cloud Architect

Solution Architect

Solution Architects design and implement solutions to meet customer needs. This course can help Solution Architects learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

See salaries and explore the career path for Solution Architect

Cloud Engineer

Cloud Engineers design, build, maintain, and operate cloud computing systems. This course can help Cloud Engineers learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. This course can benefit DevOps Engineers who want to learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

See salaries and explore the career path for DevOps Engineer

IT Architect

IT Architects design and implement IT systems. This course can help IT Architects learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Product Manager

Product Managers are responsible for defining and managing the development of products. This course can help Product Managers learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Project Manager

Project Managers plan and execute projects. This course can help Project Managers learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Business Analyst

Business Analysts analyze business needs and develop solutions to meet those needs. This course can help Business Analysts learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Systems Analyst

Systems Analysts analyze and design systems to meet business needs. This course can help Systems Analyst learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Technical Consultant

Technical Consultants provide technical advice to clients. This course can help Technical Consultants learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Data Scientist

Data Scientists use data to solve business problems. This course can help Data Scientists learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Site Reliability Engineer

Site Reliability Engineers are responsible for ensuring the reliability and performance of cloud-based systems. This course may be useful for Site Reliability Engineers who want to learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Data Engineer

Data Engineers design and build data pipelines and infrastructure. This course can help Data Engineers learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. This course can help Machine Learning Engineers learn about deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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Software Engineer

Software Engineers design, develop, deploy, and maintain computer programs or software. This course may be useful for Software Engineers interested in deploying Spring Boot microservices to AWS using Docker and Kubernetes.

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