Software Architecture Fundamentals: A Practical Deep Dive
A comprehensive, hands-on guide to understanding software architecture fundamentals — from design principles to scalability, security, and real-world patterns used by major tech companies.
System design, software architecture patterns, scalability, design principles, and best practices
11 posts in this category
A comprehensive, hands-on guide to understanding software architecture fundamentals — from design principles to scalability, security, and real-world patterns used by major tech companies.
A deep dive into data structures fundamentals — from arrays and linked lists to trees, graphs, and hash maps — with real-world insights, performance analysis, and practical Python examples.
Explore how blockchain is transforming industries beyond cryptocurrency — from supply chains to digital identity, with practical examples, code demos, and real-world insights.
A deep dive into IoT edge processing—how it works, when to use it, and how to build secure, scalable edge systems that cut latency and boost reliability.
Learn how to version APIs effectively — from URL‑based to header‑driven and semantic versioning — with real‑world examples, pitfalls, and production‑ready strategies.
A deep dive into database migration strategies — from planning to execution — with real-world examples, performance tips, and practical guidance for achieving zero downtime.
A comprehensive, hands-on comparison of major message queues — Kafka, RabbitMQ, AWS SQS, and NATS — exploring performance, scalability, and real-world use cases with code examples and architectural insights.
Explore event-driven architecture in depth — how it works, when to use it, real-world examples, code demos, and best practices for scalability, security, and observability.
Dive deep into how modern EdTech platforms use microservices, Kubernetes, and edge caching to scale globally while maintaining security and performance.
Deep dive into Linux multi-kernel concepts through device driver development, safe sandboxing with Multipass, and practical coding workflows for kernel experimentation.
From sorting your data to simulating universes, these are the most fascinating algorithms every developer should know — explained in depth and with real-world context.