Blog Posts

What You’ll Find Here Hello and welcome! I’m excited to share my thoughts and experiences in software engineering, cloud-native development, and technology insights. In this blog, I’ll be covering: Software Engineering Best Practices: Lessons learned from building scalable enterprise systems Cloud-Native Development: Microservices, containerization, and modern deployment strategies AI Integration: Working with Spring AI, RAG systems, and LLM implementations Technology Tutorials: Practical guides and how-tos Industry Insights: Thoughts on the evolving tech landscape Stay tuned for more content, and feel free to reach out if you have any questions or topics you’d like me to cover!

The 12 Factors — and Beyond Building Cloud Native Applications with Spring Boot involves more than just containerization and orchestration. It’s about designing software that thrives in dynamic cloud environments — scalable, resilient, observable, and secure. Let’s explore the 12 Factors and Beyond, adapted for modern Spring-based systems. 1. One Codebase, One Application Every application should have a single codebase tracked in version control (e.g., Git, Subversion). ✅ Each environment (dev, staging, prod) deploys from the same source, not different branches. Keeping codebase in a common source (main) for all environments. ...

Observability and Monitoring in Modern Spring Boot Applications Modern distributed systems are complex — dozens of services, asynchronous communication, and dynamic scaling make understanding what’s happening inside the system harder than ever. That’s where Observability and Monitoring come in. While Monitoring tells us that something is wrong, Observability helps us understand why it’s wrong. In a typical Spring Boot microservice setup, observability involves 3 core pillars: 🧭 1. Metrics — Quantifying System Health Metrics give a numerical insights about system behavior — CPU usage, request latency, error rates, etc. ...

A Deep Dive into the Java Virtual Machine (JVM): From Source Code toExecution The Java Virtual Machine (JVM) is at the heart of the Java ecosystem. It’s an abstract computing machine that enables Java applications to run anywhere—without needing platform-specific recompilation. But how does Java code actually go from .java files to running processes? Let’s break down the full lifecycle. Source Code → Bytecode: Every Java program begins as source code written in .java files. These files are compiled by the Java Compiler (javac) into bytecode, stored in .class files. Source Code Example: public class HelloWorld { public static void main(String[] args) { System.out.println("Hello, JVM!"); } } Compilation Command: ...