Developing Java microservices on AWS

1 - Introduction

1. 1.1 - Who is this book for?
2. 1.2 - What is AWS
3. 1.3 - AWS services and resources
4. 1.4 - Didactic structure of the book
5. 1.5 - What will be needed
6. 1.6 - AWS feature limitations by account type
7. 1.7 - Next steps

2 - Preparing the environment

1. 2.1 - AWS console
2. 2.2 - Development environment
3. 2.3 - Docker
4. 2.4 - Postman
5. 2.5 - Conclusion

3 - Book content

4 - Accounts and regions

1. 4.1 - Identity and Access Management
2. 4.2 - Regions
3. 4.3 - Availability Zones
4. 4.4 - Setting up the AWS CLI
5. 4.5 - Conclusion

5 - Spring Boot concepts

1. 5.1 - Creating the aws_project01 base project
2. 5.2 - Opening the project in the IntelliJ IDEA
3. 5.3 - Project structure
4. 5.4 - Running the application for the first time
5. 5.5 - Generating logs
6. 5.6 - Creating a controller to expose an endpoint
7. 5.7 - Debugging the application
8. 5.8 - Setting the application
9. 5.9 - Creating services managed by the Spring
10. 5.10 - Conclusion

6 - Amazon Elastic Compute Cloud

1. 6.1 - EC2 basic concepts
2. 6.2 - CPU and memory units
3. 6.3 - EC2 instance types
4. 6.4 - Creating an EC2 instance
5. 6.5 - Accessing the instances through SSH
6. 6.6 - Installing an application in an EC2 instance
7. 6.7 - Monitoring the EC2 instance
8. 6.8 - Instance states
9. 6.9 - Creating EC2 images and templates
10. 6.10 - Load balancer
11. 6.11 - Conclusion

7 - Creating AWS resources with CloudFormation

1. 7.1 - What are templates
2. 7.2 - Template base structure
3. 7.3 - What are stacks
4. 7.4 - Creating a template to build an EC2 instance
5. 7.5 - Creating and managing stacks
6. 7.6 - Updating a stack
7. 7.7 - Deleting a stack
8. 7.8 - Conclusion

8 - Running applications in Docker containers

1. 8.1 - How Docker containers works
2. 8.2 - Creating Docker images
3. 8.3 - Running applications in Docker containers
4. 8.4 - Docker Hub
5. 8.5 - Conclusion

9 - Amazon Elastic Container Service

1. 9.1 - Cluster
2. 9.2 - Tasks
3. 9.3 - Service definition
4. 9.4 - Increasing the number of instances
5. 9.5 - Updating a service with a new task definition
6. 9.6 - Conclusion

10 - Amazon CloudWatch

1. 10.1 - Visualizing the application logs
2. 10.2 - Visualizing the service metrics of a cluster
3. 10.3 - Creating alarms
4. 10.4 - Creating and monitoring events
5. 10.5 - Conclusion

11 - Amazon Relational Database Service

1. 11.1 - Creating a MySQL database
2. 11.2 - Setting up the application to access the MySQL database
3. 11.3 - Persisting entities into the database
4. 11.4 Advance queries
5. 11.5 - Creating a new version of the application
6. 11.6 - Setting up the application container into the ECS
7. 11.7 - Monitoring the database instance
8. 11.8 - Conclusion

12 - Amazon Simple Notification Service

1. 12.1 - Creating a SNS topic
2. 12.2 - Subscribing an email to receive notifications
3. 12.3 - Sending notifications through a SNS topic
4. 12.4 - Adding the permission to the ecsTaskExecutionRole to access the SNS
5. 12.4 - Conclusion

13 - Amazon Simple Queue Service

1. 13.1 - Why use SQS
2. 13.2 - Creating a new application
3. 13.3 - Setting up the project with JMS
4. 13.4 - Consuming the SQS messages using JMS
5. 13.5 - Creating a new queue in the AWS SQS
6. 13.6 - Running the application on the cluster-01 of the ECS
7. 13.7 - Testing the messages consumer of the queue
8. 13.8 - Monitoring the SQS
9. 13.9 - Conclusion

14 - Amazon DynamoDB

1. 14.1 - Creating the DynamoDB table
2. 14.2 - Setting up the application to access the table
3. 14.3 - Persisting entities in the table
4. 14.4 - Visualizing the DynamoDB table data
5. 14.5 - Testing and monitoring the DynamoDB table
6. 14.6 - Conclusion

15 - Amazon Simple Storage Service

1. 15.1 - Creating the infrastructure
2. 15.2 - Setting up the project to access the S3 and the SQS
3. 15.3 - Creating an URL to upload the file
4. 15.4 - Receiving the S3 notification through the queue
5. 15.5 - Visualizing the invoices
6. 15.6 - Publishing the new version of the aws_project01 application
7. 15.7 - Testing importing invoice files:
8. 15.8 - Conclusion

16 - Amazon Lambda

1. 16.1 - Scheduling a Lambda function execution
2. 16.2 - Invoking a Lambda function through a SNS notification
3. 16.3 - Invoking a Lambda function through a S3 notification
4. 16.4 - Monitoring the Lambda function executions
5. 16.5 - Conclusion