Daily deep dives into system design & modern architecture covering distributed systems, databases, caching, sharding, message queues, and more. Clear. Practical. FAANG-level insights.
Every Consistency Model Explained Precisely, From Linearizability to Eventual Consistency, With the Exact Situations Where Each One Applies and the Trade-offs That Make Each Choice Defensible
The Complete Database Type Reference for 2026: SQL, Key-Value, Document, Wide-Column, Graph, Vector, and Time-Series Databases Each Explained With When to Use Them and What They Cost
Week 5 of 8: The Exact Process for Drawing a High-Level System Architecture That Signals Senior-Level Thinking, From What to Draw First to How to Narrate Every Component as You Place It
Forty System Design Diagrams Covering Every Core Concept From Load Balancers to RAG Pipelines, Each Explained Simply So You Can Learn the Full Field in One Sitting
Every Caching Concept Worth Knowing in Ten Diagrams, From the Basic Hit and Miss Cycle Through Cache Invalidation, Thundering Herds, and Multi-Layer Cache Architectures
The Complete Data Modeling and Database Design Guide for 2026: How to Structure Your Data, Choose the Right Database, and Defend Your Choice When the Interviewer Pushes Back
The Message Queue Guide That Covers What Tutorials May Skip: Delivery Guarantees, Ordering, Backpressure, Consumer Groups, and the Decisions That Actually Matter at Scale
Twelve Short, Beginner-Friendly Lessons That Cover the Core System Design Concepts Every Software Engineer Should Understand Before Diving Into Advanced Topics
Twelve Diagrams That Cover Every Sharding Concept From Basic Partitioning to Consistent Hashing, Hot Key Mitigation, and Real-World Sharding Patterns Used at Scale
REST, GraphQL, and gRPC Explained From First Principles, With the Trade-offs Behind Each and a Step-by-Step Framework for Choosing the Right One in Any System Design Interview
Every Message Queue Concept You Need to Know, Explained Through Twelve Diagrams That Show How Queues Actually Work and What Goes Wrong When They Do Not