Discover the Art of
Exploring the fascinating world of algorithms, data structures, and software engineering through clear explanations and practical examples.
New to System Design Interview Prep?
Read these foundational posts in order to build a strong mental model before diving into advanced topics.
View full series- 114 min
The Ultimate Guide to Acing the System Design Interview
Don't panic. System Design interviews are open-ended discussions. This framework (Requirements, API, DB, Scale) will help you structure your answer.
- 213 min
System Design Core Concepts: Scalability, CAP, and Consistency
The building blocks of distributed systems. Learn about Vertical vs Horizontal scaling, the CAP Theorem, and ACID vs BASE.
- 316 min
System Design Networking: DNS, CDNs, and Load Balancers
The internet's traffic control system. We explain how DNS resolves names, CDNs cache content, and Load Balancers distribute traffic.
- 417 min
System Design Protocols: REST, RPC, and TCP/UDP
How do servers talk to each other? This guide explains the key protocols: REST vs RPC for APIs, TCP vs UDP for transport.
- 514 min
System Design Databases: SQL vs NoSQL and Scaling
The eternal debate: SQL or NoSQL? We break down ACID vs BASE, Sharding vs Replication, and when to use MongoDB vs PostgreSQL.
How It Works: Internals Explained
5 posts
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Machine Learning Fundamentals: A Beginner-Friendly Guide to AI Concepts
What is the difference between AI, ML, and Deep Learning? We break down the jargon and explain Supervised vs. Unsupervised learning.


How AI Coding Agents Work: Models, Context, Sessions, and Memory
Inside the architecture of Claude Code, GitHub Copilot, and Cursor: how agents use LLMs, manage context windows, handle sessions, and tier memory.

How JVM Garbage Collection Works: Types, Memory Impact, and Tuning
From Minor GC to ZGC: how each Java garbage collector manages heap memory and what it means for your application's latency and throughput.
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Data Anomalies in Distributed Systems: Split Brain, Clock Skew, Stale Reads, and More
Sharding Approaches in SQL and NoSQL: Range, Hash, and Directory-Based Strategies Compared
Partitioning Approaches in SQL and NoSQL: Horizontal, Vertical, Range, Hash, and List Partitioning

Data Anomalies in Distributed Systems: Split Brain, Clock Skew, Stale Reads, and More
Sharding Approaches in SQL and NoSQL: Range, Hash, and Directory-Based Strategies Compared
Key Terms in Distributed Systems: The Definitive Glossary
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Exploring the fascinating world of algorithms, data structures, and software engineering through clear explanations and practical examples.








