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System design explainers, interview prep guides, and deep-dive technical analyses. Written by engineers, for engineers.
Consistent Hashing Explained — The Complete Guide
A deep dive into consistent hashing with interactive visualizations. Learn how DynamoDB, Cassandra, and CDNs use it to distribute load.
CAP Theorem for Engineers Who Hate Theory
Forget the Venn diagram. Here's what CAP actually means for your system design decisions with real examples from production systems.
How I Prepared for Google System Design in 4 Weeks
A detailed week-by-week study plan that helped me go from mid-level engineer to passing Google's L5 system design round.
How Kafka Works Under the Hood
From log segments to consumer groups — a complete technical breakdown of Apache Kafka's architecture and why it's so fast.
Why You Should Never Share a Database Between Microservices
The shared database anti-pattern explained. Learn why it destroys service independence and what to do instead.
The 10 Most Common System Design Interview Mistakes
After reviewing 500+ mock interviews, these are the mistakes that cost candidates the most. Avoid them and stand out.
Designing an LLM API for 1M Users
How to architect an LLM-powered API that handles millions of requests — from GPU provisioning to KV cache optimization.
How DoorDash Scaled to 1M Orders Per Day
A technical analysis of DoorDash's engineering blog posts — the architecture decisions that enabled their massive scale.
Vector Database Trade-offs in 2026
Pinecone vs Weaviate vs Qdrant vs pgvector — a practical comparison for building production RAG systems.
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