Software Development
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Machine Learning vs Deep Learning vs Generative AI
The world of Artificial Intelligence has evolved dramatically over the past decade, giving rise to specialized technologies that power everything…
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Breaking Down Monoliths: Strategies to Refactor Legacy Java into Microservices
For years, legacy Java monoliths have powered some of the largest enterprises in the world. They’ve served well, but as…
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CQRS and Event Sourcing in Practice: Building Scalable Systems
Today’s distributed systems experiences challenges-evolving business conditions, consistency and scalability. Recently, two architectural design patterns — command query responsibility segregation…
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Secure MQTT Implementations – TLS, Authentication, and Access Control for IoT Networks
MQTT has become the de facto standard protocol for IoT communications: lightweight, reliable, and designed for constrained devices. But while…
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AI at the Edge – Running Machine Learning Models Directly on Raspberry Pi
Artificial Intelligence is no longer confined to massive cloud servers or high-powered GPUs. With the rise of edge computing, we…
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Taming Legacy Code: Refactoring Strategies Every Java Developer Should Know
Legacy code is often described as code without tests, but in reality, it’s any code that is hard to understand,…
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Automate the Boring Stuff: Setting Up CI/CD Pipelines for Java Projects
In modern software development, automation is not a luxury—it’s a necessity. Gone are the days of manually compiling code, running…
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Domain-Driven Design in the Real World: Lessons from Large Projects
Domain-Driven Design (DDD), popularized by Eric Evans in his seminal book, is often described as a philosophy for building complex…
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Design Patterns Revisited: Are Singleton and Factory Still Relevant?
Software design patterns are often described as the timeless building blocks of software engineering. They originated from the famous “Gang…
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