Category: Amazon DynamoDB

This blog post is a continuation of an existing series of articles covering different use cases for Quarkus (Optimize your Java application for AWS Lambda with Quarkus and Optimize your Java application for Amazon ECS with Quarkus). In this blog post, I want to show how the Quarkus stack and additional extensions can be used […]

Introduction Microservices architectures make applications easier to scale and faster to develop, which enables innovation and accelerating time-to-market for new features. For business applications with multiple clients (web, mobile, desktop, and smart devices), the application programming interface (API) Gateway microservices design pattern is helpful for adding centralized control and security. Containers and serverless are two […]

Introduction Event-driven computing is a common pattern in modern application development with microservices, which is a great fit for building resilient and scalable software in AWS. Event-driven computing needs to be push-based with event-driven applications that are run on-demand when an event triggers the functional workflow. Tools that help you minimize resource usage and reduce […]

Update: Spring Boot has been updated to version 3, which also means that Amazon Corretto 17 is used as JDK for all versions. Fast startup times are key to quickly react to disruptions and demand peaks, and they can increase the resource efficiency. With AWS Fargate, you don’t need to take care of the underlying […]

AWS App Runner is one of the simplest ways to run your containerized web applications and APIs on AWS. App Runner abstracts away the cloud resources needed for running your web application or API, including load balancers, TLS certificates, auto-scaling, logs, metrics, tracing (such as observability), as well as the underlying compute resources. With App Runner, […]