Backend Communication Fundamentals: Week 1 Recap
A deep dive into backend communication patterns, protocols, and design tradeoffs. This weekly recap covers request-response models, synchronous vs asynchronous programming, real-time communication, and advanced patterns like Pub/Sub and sidecars.
Backend Communication Fundamentals: Day 4
Exploring Pub/Sub, Stateful vs Stateless Systems, Multiplexing, and the Sidecar Pattern.
Backend Communication Fundamentals: Day 3 Notes
Exploring real-time communication models and their tradeoffs in backend systems.
Backend Communication Fundamentals: Day 2 Notes
Exploring the differences between synchronous and asynchronous programming in backend communication.
Backend Communication Fundamentals: Day 1 Notes
Understanding the foundational concepts of backend communication patterns, protocols, and request-response mechanisms.
Building a Real-Time Spyware Detection Engine with Flask & Machine Learning
A deep dive into building a production-ready spyware detection system with dynamic model updates, Docker security hardening, and heuristic threat analysis.
Automating Spyware Detection with Machine Learning & GitHub Actions
How we built a self-updating spyware detector that automatically retrains and deploys models using GitHub Actions, Docker, and Python ML pipelines.
Automating Spyware Detection with Machine Learning & GitHub Actions
Automating spyware detection using machine learning and GitHub Actions enables seamless model updates and deployment. This blog explores how we built a system that retrains and releases the latest spyware detection model whenever the dataset or algorithm changes, ensuring up-to-date security defenses.
76 post articles, 10 pages.