Nextly, let’s click the Next: Tags button: Please keep in mind that in real-life scenarios, we would stick to the principle of least privilege and I picked the above option for the simplicity of this tutorial. Similarly, let’s specify the Group name and select the AdministratorAccess option: Then, let’s click the Next: Permissions button and Create group on the next page: With this setting, we will be able to push our Docker image using CLI. ![]() Please select the Access key – Programmatic access option: Let’s select Users (IAM feature) and on the next page, hit the Add users button:Īs the next step, let’s specify the User name and credential type. ![]() Let’s head to the Amazon Management Console and type “users” in the search bar: If yes, then the first thing we have to do is create an IAM user. We will need it to push our Docker image later. Nevertheless, please make sure that you have already installed AWS Command Line Interface on your machine. With all of the above being done, we can start the process of deployment to App Runner with Amazon RDS. Prepare a Dockerfileįinally, let’s create a Dockerfile inside the root directory: FROM openjdk:17-jdk-alpineĬOPY /build/libs/app-runner-rds-0.0.1-SNAPSHOT.jar app.jarĮNTRYPOINT 5. With that, a new file called app-runner-rds-0.0.1-SNAPSHOT.jar is generated inside the /build/libs directory. When working with gradle (and gradle wrapper), we can simply run the following. With that being set, let’s build our service and create a JAR file. Whatsoever, we’ve introduced the DB_HOST environment variable, so that we will be able to inject database URL easily later. Url: jdbc:postgresql://$:5432/Īs we can see, these 3 values will be used to connect our application to the PostgreSQL instance. Configure application.yamlĪfter that, let’s configure application.yaml file: spring: ) getAllUsers(): List getAllUsersNonDb(): List =ĪppUser(1L, two endpoints will be helpful to validate if our Spring Boot App is deployed successfully on App Runner and connected to Amazon RDS. Private val appUserRepository: AppUserRepository Nextly, let’s expose two test endpoints: AppUserController( Add Model and Repositoryįollowing, let’s create an AppUser data class: class val id: Long? = val email: StringĪnd related AppUserRepository: interface AppUserRepository : CrudRepository 4.4. INSERT INTO app_user(id, email) values (1, 4.3. With that being done, let’s add a new file called V1_Init_And_Create_User_Table.sql inside the /resources/db/migration directory: CREATE TABLE app_user ( It will be useful to set up the database effortlessly. Please note, that we’ve added a Flyway, as well. Implementation("org.flywaydb:flyway-core:8.5.11") Implementation(":spring-boot-starter-web") Let’s add the following to the standard Spring Boot imports: implementation(":spring-boot-starter-data-jdbc") If you don’t want to spend more time here, please see this GitHub repository and skip to step 5.Īs the first step, let’s take care of imports in our project. Create Spring Boot ProjectĪs I mentioned in the beginning, in this post we will create a simple Spring Boot application connecting to PostgreSQL, however, we won’t get into many details here, so that we can focus on AWS App Runner and Amazon RDS part. ![]() Similarly, I highly encourage you to visit this AWS page to see more information. Moreover, we can choose between several engines, like: Like the App Runner, it takes care of many things related to database setup, operating, and scaling. Well, to be even more specific, Amazon Relational Database Service (RDS), is a fully managed cloud database service. ![]() If you are interested in more details, please refer to this web page. Definitely, a tool worth considering when working in smaller teams. It takes care of plenty of things, like load balancing, scaling, and deployment out of the box so that we can focus on the source code. What Is AWS App Runner?īasically, it is a fully managed service, which allows us, the developers, to deploy containerized applications with ease. Otherwise, you might easily forget about them and be charged for using them. Important note: Please delete ALL RESOURCES created in AWS after finishing this tutorial. In this step-by-step guide, we will learn how to deploy a Spring Boot application With AWS App Runner and Amazon RDS (using PostgreSQL).Īlthough as an example, we will create and containerize the Spring Boot app, the knowledge you’re going to gain today is universal and you will be able to easily apply it in any project.
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