![]() ![]() ![]() config/demo-application_development/-keyįor this demo, let’s extract the name of the S3 bucket and the SQS queue name, as these change depending on the application’s environment. Valid configuration keys are the following: This is important, as we have to follow a convention for the naming of configuration parameters to make it work without further tweaks (convention over configuration in action).Ī configuration parameter must be named after this pattern: To start, we need a name for our application, let’s call it demo-application. Once we start our application, it will reach out to the Parameter Store and fetch its configuration based on the profile that is active. Here, the AWS Systems Manager Parameter Store can help us with storing both plain strings and secure strings containing sensitive information. Additionally, we usually deploy our application with different profiles (for example, production or development) therefore, need to change the configuration based on the profile. We don’t want to store sensitive values such as the database password or API credentials in our application.yml (central configuration file of a Spring Boot application). This way, we can develop a synchronization mechanism and update our simple file viewer in the browser using class QueueListener Feature 3: Externalizing the application configuration Our S3 bucket is configured to send an event to our SQS queue whenever someone uploads a new file to our bucket. ![]() Because all SQS messages are strings, we also get support for serializing and converting the message to Java objects. We annotate a method with and can subscribe to a queue. We don’t want to write the polling algorithm on our own as this would involve threading and failure handling.Īs Spring Boot developers, we are used to annotating methods for consuming messages or events, for example like this: Cloud for AWS brings the polling logic for SQS and SNS. To consume SQS messages, our application has to poll the AWS SQS service frequently to check whether or not messages are available. In part 2, we’ll show how to subscribe to an SQS queue and externalize the configuration of our application using the Parameter Store of AWS Systems Manager. In part 1 of this two-part Spring Boot tutorial, we provided a brief introduction to Spring Cloud for AWS and covered how to display content of an S3 bucket with Thymeleaf in our demo application. This is a guest post from Björn Wilmsmann, Philip Riecks, and Tom Hombergs, authors of the upcoming book Stratospheric: From Zero to Production with Spring Boot and AWS. ![]()
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