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

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

Getting Started with Amazon Web Services - AWS

Step 01 - Creating an AWS Root Account

Step 02 - Creating an IAM User for your AWS Account

Getting Started with ECS and AWS Fargate

Step 01 - 10000 Feet Overview of Cloud, AWS, ECS and AWS Fargate

Step 02 - Getting Started with AWS Fargate - Deploy First Docker Container AWS

Step 03 - Launch Sample App in Browser

Step 04 - Understanding AWS ECS Task Definition - Create first task definition

Step 05 - Create an ECS Service for Hello World API

Step 06 - Explore ECS Services - Launch Hello World REST API in Browser

Step 07 - Its Your Responsibility to Monitor Billing in Cloud - 5 Recommendation

Step 08 - Monitor AWS Billing - Setting Billing Alerts

Step 09 - Reduce Bills - Set Service Desired Tasks to 0

Step 10 - Launch an AWS Fargate Task Directly

Step 11 - Run Batch Programs Using ECS Tasks - Simple Spring Task

Getting Started with ECS with EC2 instances

Step 01 - Getting Started with ECS with EC2 instances

Step 02 - Create a Cluster for ECS with EC2 instances

Step 03 - Create a Service - Introduction to Region and AZ

Step 04 - Using Host Network Mode - Create New Task Definition and Service

Step 05 - ECS Cluster Management - Scale EC2 Instances

Step 06 - Debugging ECS and Fargate Problems using Service Events

Step 07 - Debugging Problems - Container Status, Stopped Reason and Cloud Watch

Step 08 - Clean up Cluster

Step 09 - ECS with EC2 vs AWS Fargate

Introduction to Microservices

Step 01 - Introduction to Microservices

Step 02 - Microservices - Challenges

Step 03 - Advantages of Microservices

Deploying Currency Exchange Microservice with H2 to AWS Fargate

Step 01 - Import Microservices Projects into Eclipse

Step 02 - Code Review and Running Currency Exchange Microservice on Local

Step 03 - Build and Run Docker Container Image on Local for Currency Exchange

Step 04 - Push Currency Exchange Microservice Docker Image to Docker Hub

Step 05 - Currency Exchange Microservice with H2 - Create Task Definition and Se

Step 06 - Execute Currency Exchange Microservice on AWS

Step 07 - Using Task Metadata service to populate environment information

Step 08 - Exercise - Build Container Images for Hello World and Spring Task Proj

Deploying Currency Exchange Microservice with MySQL to AWS Fargate

Step 00 - Quick Tip - Use Prebuild Container Images from Docker Hub

Step 01 - Currency Exchange Microservice with MySQL - Code Review

Step 02 - Launch MySQL as a Docker Container in Local

Step 03 - Connect Local Currency Exchange Microservice with MySQL

Step 04 - Create Currency Exchange with MySQL Docker Image and Push to DockerHub

Step 05 - Create MySQL Database on AWS using RDS

Step 06 - Create Task Definition and Service for Currency Exchange Microservice

Step 07 - Configure Security Group to all traffic from Microsevice to RDS

Step 08 - Creating a New Security Group for RDS Database

Deploying Currency Conversion Microservice to AWS Fargate

Step 01 - Code Review and Running Currency Conversion Microservice on Local

Step 02 - Create Docker Image for CCM and connect to CEM using Docker Network

Step 03 - Deploy Currency Conversion Microservice to AWS Fargate - ECS Task

Step 04 - Execute Currency Conversion Microservice on AWS Fargate

Step 05 - Running CCM and CEM containers in Same Task - Part 1

Step 06 - Running CCM and CEM containers in Same Task - Part 2

Implement Centralized Configuration Management with AWS Parameter Store

Step 01 - Introduction to Centralized Configuration Mgmt - AWS Parameter Store

Step 02 - Update ECS Task Definitions to use Centralized Configuration

Step 03 - Provide access to Parameter Store for ECS Task Execution Role and Test

Step 04 - Centralized Configuration Management - A Review

Implement Distributed Tracing with AWS X Ray

Step 01 - Introduction to Distributed Tracing with AWS X Ray - Code Review

Step 02 - Deploy Currency Exchange Microservice with AWS X Ray - Update Task Def

Step 03 - Provide access to AWS X Ray for ECS Task Execution Role

Step 04 - Currency Conversion Microservice with X Ray - Code Review & Deployment

Step 05 - CCS and CES in X Ray - Service Maps, Traces and Analytics

Implement Auto Scaling and Load Balancing with AWS Fargate

Step 01 - Introduction to Auto Scaling and Load Balancing - Create ELB

Step 02 - Deploy New Load Balanced Service for Currency Exchange Microservice

Step 03 - Testing Currency Exchange Microservice through Load Balancer

Step 04 - Deploy New Load Balanced Service for Currency Conversion Microservice

Step 05 - Testing Currency Conversion Microservice through Load Balancer

Step 06 - Configure Auto Scaling for Currency Exchange Microservice

Step 07 - AWS Fargate Auto Scaling in Action - Scale in and Scale out

Step 08 - Clean Resources from this section

Step 09 - Tracing Request across Microservices using AWS CloudWatch Log Groups

Deploying Service Mesh using AWS App Mesh

Step 01 - Introduction to AWS App Mesh

Step 02 - Introduction to Service Discovery and Implementing Service Discovery f

Step 03 - Implementing Service Discovery for Currency Conversion Microservice -

Step 04 - Creating EC2 Instance in VPC for Service Discovery Testing

Step 05 - SSH into EC2 Instance and Run Microservices using curl

Step 06 - Quick Tip - Format using jq

Step 07 - Basics of AWS App Mesh - Mesh, Virtual Nodes and Virtual Services

Step 08 - Integrate Microservics with AWS App Mesh - Update ECS Task Definitions

Step 09 - Review AWS App Mesh - Cloud Watch Logs and X Ray Tracing

Step 10 - App Mesh and X Ray - Zero Microservice Code Change Needed - Deploy Non

Step 11 - Canary Deployments with AWS AppMesh - Deploy Multiple Versions - 1

Step 12 - Canary Deployments with AWS AppMesh - Deploy Multiple Version - 2

Step 13 - Clean Up Services and Hosted Zones

Implement CI and CD with AWS Code Pipeline

Step 01 - Overview - CI and CD with AWS Code Pipeline - Create ECR Repository

Step 02 - Commit Hello World REST API Project to GIT Repository

Step 03 - Updating Application Specification for ECS Deployment with Task Def

Step 04 - Create Code Pipeline for Hello World REST API

Step 05 - Provide Access to ECR to Code Build Role

Step 06 - Understanding Code Build Specification - Build Spec

Step 07 - Review of AWS Code Pipeline

Good to know

Know what's good

, what to watch for

, 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

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

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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

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

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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:

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.

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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

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

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.

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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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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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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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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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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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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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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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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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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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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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