Home/Notes / Overview and Reference/System Design Tradeoffs - Complete Documentation

System Design Tradeoffs - Complete Documentation

Overview

The original Tradeoffs.md file has been reorganized into 8 focused markdown files, each covering a specific topic in depth. All original content has been preserved and enhanced with interview questions and answers for each section.

In addition, the notes now include a dedicated HPC track covering fundamentals, Slurm, MPI, storage/networking, AWS ParallelCluster, system design, and interview preparation.

File Structure

Click to view code 
Notes/
├── 00. Overview and Reference/
│   ├── README.md
│   ├── Tradeoffs.md
│   ├── Technology Overview.md
│   └── Unique Topics.md
├── 01. Core Concepts/
│   ├── 01-Database-Tradeoffs.md
│   ├── 02-Caching-Strategies.md
│   ├── 03-API-Design.md
│   ├── 04-Storage-Tradeoffs.md
│   ├── 05-Communication-Patterns.md
│   ├── 06-Scalability-Reliability.md
│   ├── 07-Data-Processing.md
│   ├── 08-Architecture-Patterns.md
│   ├── 09-REST-gRPC-Best-Practices.md
│   ├── 11-Design-Patterns.md
│   ├── 12-Security-Best-Practices.md
│   └── 13-Distributed Systems for Practitioners.md
├── 02. Databases and Storage Engines/
├── 03. Streaming and Coordination/
├── 04. Cloud and Infrastructure/
├── 05. Geospatial Systems/
├── 06. High Performance Computing/
└── 07. AI and LLM Systems/

What's New in Each File

1. Database Tradeoffs (01-Database-Tradeoffs.md)

  • All original content
  • Added: 5 detailed interview Q&A

    • - Netflix recommendation system design - Uber location query handling - Database slowness - scale or shard? - Facebook social network normalization - Google Maps geospatial design

2. Caching Strategies (02-Caching-Strategies.md)

  • All original content
  • Added: Code examples and implementations
  • Added: 5 detailed interview Q&A

    • - Surge pricing cache strategy - Twitter feed caching - High-volume event system (1M/sec) - When NOT to cache - Dynamic TTL calculation

3. API Design (03-API-Design.md)

  • All original content (REST, gRPC, GraphQL, WebSockets, SSE)
  • Added: Complete API comparison table (all 6 patterns)
  • Added: 5 detailed interview Q&A

    • - Slack architecture design - REST vs gRPC vs GraphQL for microservices - Handling 100K events/second to browsers - GraphQL for mobile apps - Real-time notifications for 10M users

4. Storage Tradeoffs (04-Storage-Tradeoffs.md)

  • All original content
  • Added: Storage decision matrix
  • Added: 3 detailed interview Q&A

    • - Instagram photo storage design - Database scaling vs replacement - Dropbox file sharing architecture

5. Communication Patterns (05-Communication-Patterns.md)

  • All original content
  • Added: Message queue patterns (Pub/Sub vs Point-to-Point)
  • Added: 5 detailed interview Q&A

    • - Payment system architecture - Twitter tweet notifications - Traffic spike handling - WebSocket vs Long Polling - Retry mechanism design

6. Scalability & Reliability (06-Scalability-Reliability.md)

  • All original content
  • Added: Load balancing strategies table
  • Added: Replication patterns table
  • Added: Circuit breaker pattern visualization
  • Added: 5 detailed interview Q&A

    • - Database scaling decision - Netflix resilience architecture - Cache invalidation strategy - Multi-region failover design - Load balancer capacity planning

7. Data Processing (07-Data-Processing.md)

  • All original content
  • Added: Batch/Stream tools comparison tables
  • Added: Lambda vs Kappa architecture explanations
  • Added: 5 detailed interview Q&A

    • - Real-time fraud detection - Daily analytics pipeline - E-commerce recommendations - Improving slow batch jobs - Real-time data warehouse design

8. Architecture Patterns (08-Architecture-Patterns.md)

  • All original content
  • Added: Architecture evolution timeline
  • Added: 4 detailed interview Q&A

    • - Monolith to microservices migration - Data consistency across services - Netflix microservices structure - Deployment time analysis

9. HPC Track (HPC.md + HPC-01 to HPC-05)

  • Added: Ground-up HPC guide from fundamentals to system design
  • Added: Slurm, MPI, OpenMP, GPU, storage, and network coverage
  • Added: AWS ParallelCluster and cloud HPC design guidance
  • Added: 50-question interview bank, model answers, mock prompts, and revision sheets

Usage Guide

For Learning

  1. Start with master index: Tradeoffs.md
  2. Pick a topic: Choose file matching your interest
  3. Read the theory: Tables, diagrams, explanations
  4. Study the examples: Real company examples (Netflix, Uber, Stripe, etc.)
  5. Practice Q&A: Answer interview questions before reading solutions

For Interviews

  • Review relevant files 2-3 days before
  • Focus on the Q&A sections (most likely interview questions)
  • Use examples from your relevant file
  • Practice explaining tradeoffs clearly

For Reference

  • Bookmark Tradeoffs.md for quick navigation
  • Use Ctrl+F to search across individual files
  • Cross-reference between files (links in master index)

Key Features

✅ No content deleted - All original tradeoffs preserved ✅ Enhanced with examples - Code snippets, implementation details ✅ Interview-focused - 40+ Q&A across all files ✅ Real-world companies - Examples from Netflix, Uber, Stripe, Google, Slack, etc. ✅ Organized by topic - Easy to find and reference ✅ Searchable - Use your editor's find function ✅ Progressive depth - Basic tables + detailed explanations + advanced Q&A

Sample Interview Questions Included

  1. Database: Netflix recommendation system, Uber location queries, Facebook normalization
  2. Caching: Surge pricing, high-volume events, dynamic TTL
  3. APIs: Slack design, REST vs gRPC, 10M user notifications
  4. Storage: Instagram photos, Dropbox file sharing
  5. Communication: Payment systems, retry mechanisms, traffic spikes
  6. Scalability: Database scaling, Netflix resilience, multi-region failover
  7. Data Processing: Real-time fraud detection, analytics pipelines, recommendations
  8. Architecture: Monolith vs microservices, data consistency, service design
  9. HPC: Slurm vs Kubernetes, MPI scaling, cloud HPC, ParallelCluster, GPU cluster design

Statistics

  • Core topic files: 14 (8 tradeoff files + 6 HPC files)
  • Total lines of content: ~7,000+
  • Interview Q&A: 90+ questions with detailed answers/model answers
  • Code examples: 50+ practical implementations
  • Real company examples: 20+ companies cited
  • Decision matrices: 15+ comparison tables

How to Navigate

Click to view code (markdown) 
[Database Tradeoffs](../01. Core Concepts/01-Database-Tradeoffs.md)
[Caching Strategies](../01. Core Concepts/02-Caching-Strategies.md)
[API Design](../01. Core Concepts/03-API-Design.md)
[Storage Tradeoffs](../01. Core Concepts/04-Storage-Tradeoffs.md)
[Communication Patterns](../01. Core Concepts/05-Communication-Patterns.md)
[Scalability & Reliability](../01. Core Concepts/06-Scalability-Reliability.md)
[Data Processing](../01. Core Concepts/07-Data-Processing.md)
[Architecture Patterns](../01. Core Concepts/08-Architecture-Patterns.md)
[REST & gRPC Best Practices](../01. Core Concepts/09-REST-gRPC-Best-Practices.md)
[Design Patterns](../01. Core Concepts/11-Design-Patterns.md)
[Security Best Practices](../01. Core Concepts/12-Security-Best-Practices.md)
[Distributed Systems for Practitioners](../01. Core Concepts/13-Distributed Systems for Practitioners.md)
[HPC Master Guide](../06. High Performance Computing/HPC.md)
[HPC Fundamentals](../06. High Performance Computing/HPC-01-Fundamentals.md)
[HPC Slurm and MPI](../06. High Performance Computing/HPC-02-Slurm-MPI.md)
[HPC Storage, Networking, and Operations](../06. High Performance Computing/HPC-03-Storage-Networking-Operations.md)
[Cloud HPC and AWS ParallelCluster](../06. High Performance Computing/HPC-04-Cloud-ParallelCluster.md)
[HPC Interview Prep](../06. High Performance Computing/HPC-05-Interviews.md)

Search Tips

  • Search for company name: "Netflix", "Uber", "Stripe" to find relevant examples
  • Search for Q&A: "Q1:", "Q2:" to jump to interview questions
  • Search for concepts: "Circuit breaker", "Saga pattern", "Cache stampede"

Recommendation

For study: Start with files in order (01 → 08) For interviews: Focus on topic relevant to the role For reference: Bookmark the master index and search as needed

Happy studying! 🚀

Previous
Third Party Links
Next
Technology Overview
System Design Ultimatum · Last updated 10/17/2026