Everything About System DesignNoob to God Level
LLD · HLD · Distributed Systems · Interview Mastery
The only system design resource that takes you from absolute zero to Staff Engineer level in one place. Not a course. Not a roadmap. A complete knowledge system. Covers LLD from SOLID principles to 20 real LLD case studies with full Java code. Covers HLD from CAP theorem to designing YouTube, Uber, WhatsApp, and Kafka at scale. Covers distributed systems internals - Raft, Paxos, CRDTs, Gossip Protocol, 2PC, Saga. Covers every interview pattern, every tradeoff, every real-world architectural decision. Built from Prince Singh's own experience designing systems for 600K+ users and from deep analysis of what FAANG interviews actually test in 2026.
Your certificate
PreparationStreetCertificate of Completion
Everything About System Design
// LLD, HLD and the theory under both
Awarded to
Your Name
Issued on
-
Credential ID
PS-ESD-XXXXXXXX
Verify at preparationstreet.com/certificate/verify
Everything About System Design
Complete every item in Everything About System Design. Issued with your name and a verifiable ID.
Sign in to start tracking toward it.
- Categories
- 9
- Patterns
- 76
- Problems
- 380+
- Market rating / 10
- 9.8
Skills these companies hire for
AmazonAmazonAmazonOutcomes
What you'll learn
- Only resource covering LLD + HLD + Distributed Systems Theory + Research Papers in one unified product
- Every concept: WHY (first principles) + WHAT (definition) + HOW (implementation) + WHEN (decision criteria) + INTERVIEW (what earns points)
- 20 complete LLD designs with full Java implementation - not pseudocode
- 20 complete HLD designs with capacity estimation, API contracts, architecture, deep dives, and tradeoffs
- 8 must-read research paper deep dives - Dynamo, Bigtable, Facebook Memcached, Spanner, Kafka, TAO, Zanzibar, GorillaDB
- Distributed systems theory: Raft, Paxos, CRDTs, Gossip Protocol, 2PC, Saga, Vector Clocks, Probabilistic Data Structures
- Real-world context - every concept grounded in Production & Enterprises Systems, Swiggy, Razorpay, Flipkart-scale decisions
- Capacity estimation with real numbers and worked examples - not vague hand-waving
- System design interview scoring rubric - what interviewers actually score at each seniority level
- Company-specific patterns - Amazon, Google, Meta, Netflix, Uber vocabulary, tools, and what they care about
Curriculum
9 categories, in the order that works
Each step builds on the one before it. Open any of them from the sidebar.
- 01
System Design Foundations
Beginner - Mid
6 patterns · 30 problems
- 02
Low Level Design (LLD)
Beginner - Senior
8 patterns · 40 problems
- 03
Database Internals & Selection
Mid - Senior
7 patterns · 35 problems
- 04
Distributed Systems Theory
Senior - Staff
8 patterns · 40 problems
- 05
Core Infrastructure Components
Mid - Senior
7 patterns · 35 problems
- 06
System Design Patterns & Architecture
Senior - Staff
7 patterns · 35 problems
Your path
Start where you are
Pick the track that matches your level - it tells you exactly what to open first.
0–2 years experience
Start with Category 1 (Foundations) completely. Then Category 2 (LLD) fully. LLD rounds come before HLD. Category 3 after LLD is solid.
Market comparison
How it stacks up against the alternatives
The Only Complete System Design Resource - LLD to Research Papers, Noob to CTO, One Product
- 9.8
- Overall rating / 10
- Content depth
- 9.9
- Industry relevance
- 9.9
- Hiring alignment
- 9.9
- Practicality
- 9.8
- Production relevance
- 9.8
- Beginner friendliness
- 7.5
Ahead of the average alternative on 18 of 18 features, by +6.8 points on average.
LLD Coverage - SOLID, OOP, Design Patterns, Case Studies
Full Java Code for Every LLD Design (20 Designs)
HLD Case Studies Count (20 complete designs)
Distributed Systems Theory (Raft, Paxos, CRDTs, 2PC, Saga)
Research Paper Deep Dives (8 papers: Dynamo, Spanner, Kafka, TAO, Zanzibar...)
Capacity Estimation with Real Worked Examples
Interview Scoring Rubric by Seniority (SDE1 → Staff → CTO)
Company-Specific Patterns (Amazon, Google, Meta, Netflix, Uber)
Storage Engine Internals (LSM Tree vs B-Tree, WAL, SSTable)
Probabilistic Data Structures (Bloom Filter, HyperLogLog, Count-Min Sketch)
Where most courses fall short
- Enterprise bootcamps have excellent HLD but almost zero LLD - candidates fail LLD rounds before they get to HLD
- Roadmap platforms are a visual overview with no depth - it tells you WHAT to study, not HOW it works or WHY you choose it
- Generic courses cover HLD basics but never go deep on distributed systems theory - Raft, CRDTs, Vector Clocks are absent
- YouTube tutorials are free but scattered - no unified framework, no interview scoring rubric, no structured progression
- No resource covers all three layers: LLD (class design) + HLD (system design) + Distributed Theory (why it works)
- Research papers are mentioned everywhere but deep-dived nowhere - candidates reference Dynamo without understanding the actual innovations
- Interview scoring rubrics are hidden inside companies - no resource maps content to seniority levels (SDE-1 vs Staff vs Principal)
- Company-specific patterns (Amazon vs Google vs Meta vs Netflix) are never taught - candidates use generic designs in company-specific interviews
- Zero-downtime deployments and Security architecture are treated as DevOps concerns - no system design resource covers them
- Capacity estimation is taught vaguely - 'do back-of-envelope' without actual formulas, reference numbers, or worked examples
What this product does instead
- The only resource where you can walk into any FAANG system design interview at any level and find exactly what you need
- LLD case studies with full Java code mean you can practice implementing, not just discussing
- Research paper deep dives with interview-ready talking points - reference papers like a Staff engineer naturally would
- Scoring rubric tells you not just what to learn but what signals to send at each interview level
- Distributed systems theory at depth that matches Staff engineer interviews - most candidates never reach this level
- Built by someone who designed systems for 600K+ users - every concept grounded in real production decisions
- Single product for 0 YOE to CTO - no need to buy 5 different courses and stitch them together
- Company-specific patterns mean your design vocabulary matches the company's own language and tooling
- Frontend-renderable JSON schema - consistent with every other product in the ecosystem
Strongest sections
- 10/10
Category 4 - Distributed Systems Theory (Raft, Paxos, CRDTs, Gossip, 2PC, Saga)
Nobody covers distributed systems theory at this depth outside of academic papers and PhD coursework. Raft + Paxos + CRDTs + Vector Clocks + Gossip Protocol + 2PC vs Saga - all in one category with interview-ready context. This is what separates Senior from Staff engineer answers.
- 10/10
Category 9 - Research Papers Deep Dive (8 papers)
Dynamo, Bigtable, Facebook Memcached, Spanner, Kafka, TAO, Zanzibar, GorillaDB - each explained with problem statement, key innovations, impact, and interview gold. Referencing papers casually in interviews is the strongest Staff-level signal. No other non-academic resource covers all 8.
- 10/10
Category 2 - LLD with Full Java Code (20 designs)
20 complete LLD designs - Parking Lot, Splitwise, BookMyShow, Notification System, Rate Limiter, Uber, Google Docs, Hotel Booking, Payment Gateway, Google Drive - each with full compilable Java code. Enterprise bootcamps ship zero code. This is a complete monopoly.
- 9.9/10
Category 7 - HLD Case Studies (20 complete designs)
URL Shortener, WhatsApp, YouTube, Twitter, Uber, Google Maps, Hotstar Live Streaming, Recommendation Engine, Payment Gateway, Ad Click Aggregator, Kafka design, Gmail, Google Drive, Stock Exchange, Tinder, Chess Platform, Cab Aggregator - each with capacity estimation, API design, architecture, deep dives, and tradeoffs.
- 9.9/10
Category 8 - Interview Mastery (Scoring Rubric + Company Patterns + Production Experience)
Scoring rubric mapped to SDE-1/Senior/Staff/Principal levels. Company-specific patterns for Amazon, Google, Meta, Netflix, Uber. Prince Singh's real production learnings from a 600K-user Multi-LLM platform. The meta-skills that convert knowledge into interview offers.
- 9.8/10
Category 3 - Database Internals (LSM Tree, B-Tree, Sharding, CAP, ACID)
LSM Tree vs B-Tree internals explain WHY Cassandra outperforms MySQL on writes. Consistent hashing with virtual nodes. CAP theorem with CP vs AP decision framework. ACID isolation levels with real anomaly examples. Database selection decision tree. Nobody else teaches the internals at this depth.
Audience
Who this is for
- SDE-1 and SDE-2 preparing for their first system design interviews
- Senior engineers (3-6 YOE) targeting FAANG or Staff-level positions
- Staff and Principal engineers needing distributed systems depth
- Tech leads and Engineering Managers who design systems professionally
- Anyone who bought a bootcamp and still wants LLD + deeper theory
Your first step takes five minutes.
Open the first categorie and progress is tracked for you from there.
9 categories Progress tracked per item Certificate on completion