Behind every system that’s easy to scale and evolve is an architecture built on clarity, not complexity. But in a world obsessed with Kubernetes YAMLs, CQRS pipelines, and architecture diagrams that require their own legends, simplicity often gets buried beneath layers of abstraction.

This talk introduces a Simplicity-First approach to intelligent software architecture. We’ll explore how simple, intentional design choices lead to systems that are scalable, resilient, and easier to change—not because they rely on the latest buzzwords, but because they embrace timeless principles: separation of concerns, clean interfaces, evolutionary change, and empathetic design.

We’ll dissect real-world architectures, uncover where complexity quietly creeps in, and walk through how to align technical decisions with business adaptability. Whether you’re modernizing a legacy system or building a cloud-native platform, this session will help you chart a clear path forward.

Learning Objectives:
• Understand how Simplicity-First thinking leads to architectures that are scalable, maintainable, and adaptable.
• Learn how to detect and eliminate unnecessary architectural complexity through design reviews and code patterns.
• Discover patterns like modular monoliths, message-based communication, and evolutionary change that support long-term sustainability.
• Shift architectural conversations from “how clever is this?” to “how clear is this?”