Observability in Modern DevOps: Logs, Metrics, and Traces
Master the three pillars of observability — structured logging, metrics collection, and distributed tracing to keep your production systems healthy.
Deep dives into software engineering — Java, Next.js, DevOps, system design, and lessons learned building real-world applications.
After 6 months of daily AI-assisted coding with Claude, here is what actually works, what does not, and how it has changed the way I build software.
Master the three pillars of observability — structured logging, metrics collection, and distributed tracing to keep your production systems healthy.
A hands-on guide to integrating Claude AI into your Next.js application — streaming responses, function calling, and building chat interfaces.
Provision and manage Google Cloud infrastructure declaratively with Terraform — from basics to managing complex multi-environment setups.
How I integrated Claude into my code review workflow to catch bugs, suggest improvements, and enforce best practices automatically.
A practical Kubernetes guide for developers — pods, deployments, services, ingress, and managing your first production cluster.
Learn the art and science of writing effective prompts for AI models — techniques that dramatically improve output quality and consistency.
Master Docker for production — multi-stage builds, security hardening, image optimization, and container orchestration patterns.
Build robust, automated CI/CD pipelines using GitHub Actions — from basic workflows to multi-stage deployments with Docker and cloud services.
Explore how to integrate Claude AI into your development workflow — from API setup to building intelligent features in your applications.
The technical and soft skills that made the biggest difference in my growth as a software engineer — from writing better code to communicating effectively in a large enterprise team.
Practical patterns for adding scroll-triggered entrance animations, stagger effects, and micro-interactions with Framer Motion in a Next.js app — without hurting performance.
How to structure a Spring Boot project following clean architecture principles — separating controllers, services, repositories, DTOs, and entities for maximum maintainability and testability.
Exploring Neon's serverless PostgreSQL offering — branching, scale-to-zero, and how to connect a Spring Boot application via JDBC with connection pooling using HikariCP.
How shadcn/ui's copy-paste philosophy combined with Tailwind CSS utilities lets you build a consistent, accessible, and fully customizable design system without fighting against a framework.
A comprehensive guide to implementing JWT authentication in Spring Boot 3 using httpOnly cookies for maximum security, covering token generation, validation, and refresh strategies.
How I set up a complete CI/CD pipeline using GitHub Actions to automatically test, build, and deploy a Dockerized Java + Node.js application to production on every push to main.
A deep dive into architecting a modern portfolio application using Next.js 14 App Router on the frontend and Spring Boot 3 on the backend, connected via a PostgreSQL database on Neon.