AWS on JAVAPRO International

Building Production-Ready AI Agents with Java and Spring AI

Thu, 30 Apr 2026 07:00:01 +0000

Java developers have been building enterprise applications for decades, but when it comes to AI, the conversation has been dominated by Python. Spring AI changes this situation. It brings the same patterns we know from Spring - dependency injection, auto-configuration, portable abstractions - to AI development.

In January 2026 we built a sample agent application, and we want to share what we learned. The sample AI agent handles conversations with memory, answers questions from internal knowledge bases, uses external APIs, and integrates with existing microservices - all running on Amazon Bedro ck. If you want to try it yourself, the Building AI Agents with Java and Spring AI workshop [1] walks you through typical challenges of Generative AI models and provides step by step solutions with code available on GitHub [2].

Modernize Java Applications with Amazon EKS: A Cloud-Native Approach

Tue, 19 Aug 2025 07:00:01 +0000

Cloud-native development has become the cornerstone of modern application development, with containerization leading the charge in deployment strategies. For Java developers and enterprises with significant Java investments, the journey to cloud-native architecture presents both opportunities and challenges. This article explores how Amazon EKS, combined with cutting-edge technologies like Coordinated Restore at Checkpoint (CRaC) and Quarkus, is revolutionizing Java application deployment in the cloud.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service that enables customers to run Kubernetes seamlessly in both AWS Cloud and on-premises data centers. In the cloud, Amazon EKS automates Kubernetes cluster infrastructure management. This is essential for scheduling containers, managing application availability, dynamically scaling resources, optimizing compute, storing cluster data, and performing other critical functions. With Amazon EKS, customers can leverage the robust performance, scalability, reliability, and availability of AWS infrastructure, as well as natively integrate with AWS networking, security, and storage services. To simplify running Kubernetes in on-premises environments, customers can use the same Amazon EKS clusters, features, and tools to run nodes on AWS Outposts or their own infrastructure, or customers can use Amazon EKS Anywhere for self-contained, air-gapped environments.

How to Develop, Run and Optimize Quarkus Web Application on AWS Lambda

Tue, 05 Aug 2025 07:00:03 +0000

What will We explore and learn in this article?

In this article, we will explore some ways to develop, deploy and run applications on AWS Lambda using Quarkus framework. Of course, we will measure performance (the cold and warm start times) of the Lambda function. We will also show how we can optimise performance of Lambda functions using Lambda SnapStart (including various priming techniques) and GraalVM Native Image deployed as AWS Lambda Custom Runtime. You can find code examples for the whole series in my GitHub Account.