CloudBank AI

Welcome to CloudBank AI - an on-demand, self-paced learning resource you can use to learn about developing microservices with Spring Boot and Spring Cloud Oracle and deploying, running and managing them with Oracle Backend for Microservices and AI.

You can follow through from beginning to end, or you can start at any module that you are interested in.

What you will need

To complete the modules you will somewhere to run Oracle Backend for Microservices and AI. The instructions in the Module 1 provide three alternatives:

  • Locally in a container - you will need a container platform like Docker Desktop, Rancher Desktop, Podman Desktop or similar. This option is recommended only if you have at least 64GB of RAM. With less memory this option will probably be too slow.
  • In a compute instance in an Oracle Cloud Free Tier account. You can sign up for an Oracle Cloud Free Tier account here. This account will include enough free credits to run CloudBank.
  • In a commercial Oracle Cloud tenancy. If you have a commercial tenancy with sufficient capacity and privileges, you can run the full production-sized installation. This can be installed from the OCI Marketplace using the instructions in Module 1. Check the instructions for a more detailed list of requirements.

Regardless of which option you choose, the remainder of the modules will be virtually identical.

You will need a Java SDK and either Maven or Gradle to build your applicaitons. An IDE is not strictly required, but you will have a better overall experience if you use one. We recommend Visual Studio Code or IntelliJ.

Modules

CloudBank contains the following modules:

  • Module 1: Provision the Backend This module guides you through provisioning an instance of the backend using Oracle Cloud Infrastructure (OCI) or on your local machine using Docker Compose.
  • Module 2: Preparing your Development Environment
    This module guides you through setting up your development environment including and IDE and a toolchain to build and test your applications.
  • Module 3: Build the Account Microservice
    This module walks you through building your very first microservice using Spring Boot. It assumes no prior knowledge of Spring Boot, so its a great place to start if you have not used Spring Boot before. This module demonstrates how to build a service with a synchronous API implemented as REST endpoints using Spring Web MVC, and how to store data in Oracle Database using Spring Data JPA.
  • Module 4: Build the Check Processing Microservices
    In this module, you will build microservices that use asynchronous messaging to communicate using Spring JMS and Oracle Transactional Event Queues. It introduces service discovery using Eureka Service Registry (part of Spring Cloud Netflix) and Spring Cloud OpenFeign.
  • Module 5: Manage Saga Transactions across Microservices
    This module introduces the Saga pattern, a very important pattern that helps us manage data consistency across microservices. We will explore the Long Running Action specification, one implementation of the Saga pattern, and then build a Transfer microservice that will manage funds transfers using a saga.
  • Module 6: Building the CloudBank AI Assistant using Spring AI This modules introduces Spring AI and explores how it can be used to build a CloudBank AI Assistant (chatbot) that will allow users to interact with CloudBank using a chat-based interface.
  • Module 7: Deploying the full CloudBank Application using the CLI
    In this module, you will learn how to deploy the full CloudBank application to Oracle Backend for Microservices and AI using the CLI. If you prefer to use an IDE, skip this module and go to module 6 instead.
  • Module 8: Deploying the full CloudBank Application using the IDE plugins
    In this module, you will learn how to deploy the full CloudBank application to Oracle Backend for Microservices and AI using one of the IDE plugins - for Visual Studio Code or IntelliJ.
  • Module 9: Explore the Backend Platform
    This module will take you on a guided tour through the Oracle Backend for Microservices and AI platform. You will learn about the platform services and observability tools that are provided out-of-the-box.
  • Module 10: Cleanup This module demonstrates how to clean up any resources created when you provisioned an instance of Oracle Backend for Microservices and AI on Oracle Cloud Infrastructure (OCI) or on your local machine using Docker Compose.