New: Mooncake & PRESERVE (2025 papers) just added →

Master System Design
Like a Staff Engineer

by Microsoft Engineer Raju Guthikonda

30 real-world architectures · 10 LLM systems · latest 2025 research papers. Real systems, backed by research. Built for CS students who want to ace system design interviews and actually understand how things work.

Built by a Microsoft engineer · Free forever · 30 architectures

30 architecture deep-dives
10 LLM & AI systems
Free podcast · 30 episodes

Netflix CDN

Netflix

⚡ Distributed

GPT Inference

OpenAI

🤖 LLM

Kafka Streams

LinkedIn

🗄️ Data

Twitter Fan-out

Twitter/X

⚡ Distributed

RAG Pipeline

Cohere

🤖 LLM

DynamoDB

Amazon

🗄️ Data
30
Architecture Deep-Dives
Real-world systems
10+
LLM & AI Systems
Latest research papers
30
Podcast Episodes
Free to listen, always
2025
Research Coverage
Latest papers included
Free to Read

30 Architectures. Zero Fluff.

Every architecture explains the why behind design decisions — not just the what. Includes references to original research papers from Google, Amazon, Meta, and leading AI labs.

⚡ Distributed Systems(10)
🗄️ Data & Infrastructure(10)
🤖 LLM & AI Systems(10)
UsersDNSAnycastEdge PoPISP CacheEdge PoPISP CacheOrigin ServerS3 / Netflix CDNFallbackDirect
⚡ Distributed

Netflix Content Delivery Architecture

How Netflix streams to 260M users without a single datacenter

Netflix · Disney+ · Hulu

CDNConsistent HashingAdaptive Bitrate Streaming+3
Advanced
1 paper
ClientAPI GatewayServiceCacheRedisDatabase
⚡ Distributed

Amazon DynamoDB Architecture

The Dynamo paper that changed distributed databases forever

Amazon · LinkedIn · Cassandra (inspired)

Consistent HashingVirtual NodesGossip Protocol+4
Expert
1 paper
ProducersPartition 0LeaderPartition 1LeaderPartition 2LeaderConsumerGroup AConsumerGroup B
🗄️ Data

Apache Kafka Event Streaming Architecture

Partitions, consumer groups, log compaction, and exactly-once semantics

LinkedIn · Confluent · Uber

Partitions & OffsetsConsumer GroupsLog Compaction+3
Advanced
1 paper
RequestPromptSchedulerContinuous BatchGPU WorkersTensor ParallelKV CachePagedAttentionTokensOutputFlash AttnIO-Aware
🤖 LLM

GPT / Transformer Inference Architecture

KV cache, FlashAttention, quantization, and batching at scale

OpenAI · Anthropic · Google DeepMind

KV CacheFlashAttentionQuantization (INT8/INT4)+3
Expert
2 papers
QueryEmbedderDense SearchBM25Sparse SearchRRF RerankFusionLLM
🤖 LLM

RAG Pipeline Architecture

Retrieval-Augmented Generation from PDF to production

OpenAI · LangChain · Cohere

Document ChunkingText EmbeddingsVector Search (ANN)+3
Advanced
1 paper
ClientAPI GatewayServiceCacheRedisDatabase
🤖 LLM

Multi-Agent LLM Orchestration

LangGraph state machines, tool use, memory, and human-in-the-loop

Anthropic · OpenAI · Microsoft AutoGen

ReAct PatternLangGraphTool Use / Function Calling+3
Expert
1 paper
The Process

How It Works

Structured learning — not a random dump of content. Two architectures per week keeps it manageable while building deep intuition over time.

01
Step 01

Read the Free Articles

All 30 architecture deep-dives are free on the website. Each includes diagrams, key concepts, tradeoffs, and research paper links. No login required.

02
Step 02

Listen to the Podcast

Alex & Sam break down each architecture in a conversational podcast episode — 3-8 minutes each. Perfect for commutes, walks, or coding sessions. All 30 episodes are free.

03
Step 03

Understand the Trade-offs

Each episode goes deep on why engineers at Netflix, Google, and Meta made specific design decisions. Understand the real constraints — not just the happy path.

04
Step 04

Ace Your System Design Interviews

30 architectures across distributed systems, data infrastructure, and LLM/AI. Walk into any FAANG system design interview with genuine intuition — not memorized diagrams.

Start Listening — All 30 Free

No account · No payment · Just good systems education

Podcast · All Free

Architecture Deep-Dives by Ear

Alex & Sam break down how Netflix, Kafka, GPT, and 27 more real-world systems actually work — in 3-8 minute podcast episodes. Listen while you commute, code, or cook.

No login · No credit card · Always free

Built by Practitioners

Learn from Engineers Who Ship at Scale

Not textbook authors — engineers who have designed, operated, and debugged these exact architectures at Microsoft, Lowe's, Target, and Wells Fargo.

Raju Guthikonda

Raju Guthikonda

Software Engineer @ Microsoft

Austin, Texas

LinkedIn →

I've spent 10+ years building scalable systems at Microsoft and Wells Fargo — and I kept noticing the same gap: CS students could solve LeetCode but couldn't explain why Netflix uses consistent hashing or how GPT inference actually works at scale. ArchDesign.io is what I wish existed when I was studying.

Software Engineer @ Microsoft

Building distributed cloud systems at scale

10+ Years in the Industry

Microsoft · Wells Fargo · Space Ranger Award winner

MS Computer Science — GPA 3.79

University of Houston – Clear Lake · $15K Scholarship

Cloud & Distributed Systems Expert

Azure, Cassandra, Redis, Kafka, CosmosDB

AzureKafkaCassandraRedisCosmosDBC#Python.NET
Rohith Shabad

Rohith Shabad

Senior Software Engineer @ Lowe's

Minneapolis, Minnesota

LinkedIn →

From Wells Fargo to Target to Lowe's, I've built full-stack systems that handle millions of retail transactions daily. The patterns repeat — but the tradeoffs are always in the details. That's what we teach here.

Senior SWE @ Lowe's

Full-stack systems at retail scale · Nov 2022–Present

9+ Years Experience

Lowe's · Target · Principal Financial · Wells Fargo

MS Computer Science

University of Houston – Clear Lake · 2011–2013

Full-Stack & Distributed Systems

Java, JavaScript, React, Spring Boot, Kubernetes

JavaJavaScriptReactSpring BootKubernetesAWSNode.jsSQL
🧠

Research-first

Every architecture cites the original paper — Dynamo, MapReduce, FlashAttention, LoRA, PagedAttention.

Production-grade depth

Failure modes, operational gotchas, and real tradeoffs from actually running these systems.

🤖

2025 LLM papers

PRESERVE, Mooncake, Preble, Oaken — cutting-edge inference architectures ByteByteGo hasn't covered.

🎯

Interview-ready framing

Common patterns from real system design rounds at Google, Meta, Amazon, and Microsoft — 5 questions per architecture.

Honest Comparison

Why Engineers Choose ArchDesign.io

We built what we wished existed when preparing for FAANG system design rounds — rigorous, current, and completely free.

FeatureByteByteGoDesignGurusArchDesign.io ✦
Price$15/mo$29/moFree
LLM ArchitecturesLimitedNone10 Deep-dives
Latest Research PapersOutdatedNone2025 papers
Interview QuestionsNoBasic5 per article
Built by practitionersNoNoMicrosoft + Lowe's
Free articles + podcastNoNo30 + 30 free

Research-First

Every architecture is grounded in the actual papers engineers at Meta, Google, and OpenAI cite internally — PRESERVE, Mooncake, Preble, Oaken, PyramidInfer and more.

Production Depth

Written by a Microsoft Software Engineer with 10+ years of real-world distributed systems experience. Not a blogger. Not a YouTuber. A practitioner.

Always Current

Competitors recycle content from 2021 books. We publish breakdowns of 2024–2025 papers within weeks of release, so you're never studying yesterday's architecture.

100% Free

Everything Is Free Forever

30 architecture articles + 30 podcast episodes. No credit card, no login, no paywall. System design education should be free for every CS student.

$0 · Always

Read the articles, listen to the podcast, download the diagrams. Everything on ArchDesign.io is free, permanently.

30 podcast episodes

3–8 min each, free forever

30 architecture articles

Diagrams, tradeoffs, papers

3 categories covered

Distributed · Data · LLM/AI

No credit card · No account required · No catch

Student Reviews

What Students Are Saying

Built for CS students preparing for FAANG system design interviews.

🎓

I've been listening to the podcast on my commute and it's genuinely the best way I've found to build system design intuition. Alex and Sam explain things like I'm a smart person, not like they're reading from a textbook.

CS Student

Preparing for FAANG interviews

🤖

The LLM architecture episodes are unlike anything else out there. Nobody else is explaining RAG pipelines, KV cache disaggregation, and multi-agent systems at this level of depth for free.

Backend Engineer

Moving into ML infrastructure

I used to dread the system design round. After going through all 30 architecture deep-dives, I actually look forward to it now. The diagrams and podcast together clicked for me in a way that reading alone never did.

Software Engineer

New grad preparing for interviews

Got Questions?

Frequently Asked Questions

Everything you need to know about ArchDesign.io — or just start reading for free.

Still have questions? Email Raju directly — he reads every message.

Free · No login required

Start Learning Like a Staff Engineer

30 real-world architecture deep-dives + 30 podcast episodes — from Netflix CDN to GPT inference pipelines. Read the articles. Listen on the go. Built by a Microsoft engineer, free for every CS student.

Free foreverNo login required30 articles + 30 podcast episodes

Built by a Microsoft engineer · Free system design education for every CS student