Blog

Welcome to my blog! Here I share insights about Java development, Spring Boot, AWS, microservices architecture, and software engineering best practices.

Case Study: Digital Transformation in a Regional Health Clinic

Digital Transformation Health Clinic Medical Records Cash Flow Payment Disputes
Introduction As part of my final-year project before graduating as an Information Systems Engineer, I collaborated with a regional health clinic in my hometown. The clinic aims to become a regional leader in the province of Entre RĂ­os, Argentina. Its vision is to be the top comprehensive health services provider for the city and surrounding areas, offering hospitalization, surgical procedures, diagnostics and imaging, and consultation rooms. The Problem: Documentation Bottlenecks The clinic faced critical information management issues that affected its billing, compliance, and revenue.

Enterprise Java Development: Building Scalable Business Applications

Java Enterprise Architecture Spring Boot Microservices
Enterprise Java development represents the pinnacle of software engineering, where robust, scalable, and maintainable applications meet the complex demands of large organizations. In this comprehensive guide, I’ll share insights from years of building enterprise-grade Java applications that power mission-critical business operations. What is Enterprise Java Development? Enterprise Java development focuses on creating large-scale, distributed applications that serve thousands of users while maintaining high availability, security, and performance. These applications typically handle:

Spring Boot Microservices Best Practices

Spring Boot Microservices Java Architecture
Building microservices with Spring Boot can be both powerful and challenging. In this post, I’ll share the essential best practices I’ve learned from building production microservices at scale. 1. Service Design Principles Single Responsibility Each microservice should have a single, well-defined responsibility. This makes it easier to: Understand and maintain Scale independently Deploy without affecting other services Domain-Driven Design Organize your services around business domains rather than technical layers. This ensures your microservices align with your business capabilities.

AWS Lambda Java Performance Optimization

AWS Lambda Java Performance Serverless
AWS Lambda is a powerful serverless computing platform, but Java applications can face cold start challenges. Here are proven strategies to optimize your Java Lambda functions. Understanding Cold Starts Cold starts occur when AWS Lambda needs to: Initialize a new execution environment Load your function code Initialize the JVM Execute your function This can take several seconds for Java applications, especially with large dependencies. Optimization Strategies 1. Minimize Dependencies Only include what you need: