Raj Raushan Butter Reddio

Blockchain Reddio

[Raj Raushan Butter Reddio @macmaxman]

Just earned the Bronze Badge for C on HackerRank! https://t.co/xysd3oZsHq

[divyansh @divyansh_1729]

SYSTEM DESIGN ROADMAP
│
├── 1. Computer Science Fundamentals
│ ├── How the Internet Works
│ ├── Client-Server Architecture
│ ├── HTTP & HTTPS
│ ├── DNS (Domain Name System)
│ ├── TCP & UDP
│ ├── IP Addresses & Ports
│ ├── OSI Model
│ ├── Network Protocols
│ ├── REST Architecture
│ ├── WebSockets
│ ├── Operating System Fundamentals
│ ├── Processes & Threads
│ ├── Concurrency & Parallelism
│ ├── Memory Management
│ ├── CPU & I/O Basics
│ └── Linux Fundamentals
│
├── 2. System Design Fundamentals
│ ├── What is System Design?
│ ├── What is Software Architecture?
│ ├── Monolithic Architecture
│ ├── Microservices Architecture
│ ├── Service-Oriented Architecture (SOA)
│ ├── Client-Server Architecture
│ ├── Three-Tier Architecture
│ ├── Layered Architecture
│ ├── Event-Driven Architecture
│ ├── Serverless Architecture
│ ├── Distributed Systems Basics
│ ├── Stateful vs Stateless Systems
│ ├── Synchronous vs Asynchronous Communication
│ └── Architectural Trade-offs
│
├── 3. Requirements & Design Fundamentals
│ ├── Functional Requirements
│ ├── Non-Functional Requirements
│ ├── Scalability
│ ├── Availability
│ ├── Reliability
│ ├── Maintainability
│ ├── Fault Tolerance
│ ├── Performance
│ ├── Latency & Throughput
│ ├── Consistency
│ ├── Durability
│ ├── Security
│ ├── Capacity Estimation
│ ├── Back-of-the-Envelope Calculations
│ ├── Traffic Estimation
│ ├── Storage Estimation
│ └── Bandwidth Estimation
│
├── 4. Networking & Communication
│ ├── HTTP Methods
│ ├── HTTP Status Codes
│ ├── HTTP Headers
│ ├── Cookies & Sessions
│ ├── TLS / SSL
│ ├── REST APIs
│ ├── GraphQL
│ ├── gRPC
│ ├── WebSockets
│ ├── Server-Sent Events (SSE)
│ ├── Long Polling
│ ├── API Versioning
│ ├── API Rate Limiting
│ ├── Connection Pooling
│ └── Keep-Alive Connections
│
├── 5. Database Fundamentals
│ ├── Relational Databases
│ │ ├── PostgreSQL
│ │ ├── MySQL
│ │ ├── Tables & Relationships
│ │ ├── Primary & Foreign Keys
│ │ ├── Indexing
│ │ ├── B-Tree & B+ Tree
│ │ ├── Query Optimization
│ │ ├── Joins
│ │ ├── Transactions
│ │ ├── ACID Properties
│ │ └── Normalization & Denormalization
│ ├── NoSQL Databases
│ │ ├── Document Databases
│ │ ├── Key-Value Stores
│ │ ├── Wide-Column Stores
│ │ ├── Graph Databases
│ │ └── MongoDB / Cassandra / DynamoDB
│ ├── Database Internals
│ │ ├── Storage Engines
│ │ ├── Write-Ahead Logging (WAL)
│ │ ├── MVCC
│ │ ├── Locking
│ │ └── Isolation Levels
│ └── Database Design Decisions
│ ├── SQL vs NoSQL
│ ├── Schema Design
│ ├── Read-Heavy vs Write-Heavy Workloads
│ └── Data Modeling
│
├── 6. Caching
│ ├── What is Caching?
│ ├── Cache Hierarchy
│ ├── Client-Side Caching
│ ├── Browser Caching
│ ├── CDN Caching
│ ├── Application-Level Caching
│ ├── Database Caching
│ ├── Redis
│ ├── Memcached
│ ├── Cache-Aside Pattern
│ ├── Read-Through Cache
│ ├── Write-Through Cache
│ ├── Write-Back Cache
│ ├── Cache Invalidation
│ ├── TTL (Time To Live)
│ ├── Cache Eviction Policies
│ │ ├── LRU
│ │ ├── LFU
│ │ └── FIFO
│ ├── Cache Stampede
│ └── Distributed Caching
│
├── 7. Load Balancing & Traffic Management
│ ├── What is Load Balancing?
│ ├── Layer 4 vs Layer 7 Load Balancing
│ ├── Reverse Proxy
│ ├── Forward Proxy
│ ├── Nginx
│ ├── HAProxy
│ ├── Cloud Load Balancers
│ ├── Round Robin
│ ├── Least Connections
│ ├── IP Hash
│ ├── Consistent Hashing
│ ├── Health Checks
│ ├── Sticky Sessions
│ ├── Horizontal Scaling
│ ├── Vertical Scaling
│ └── Auto Scaling
│
├── 8. Distributed Systems Fundamentals
│ ├── What is a Distributed System?
│ ├── Distributed System Challenges
│ ├── CAP Theorem
│ ├── PACELC Theorem
│ ├── Consistency Models
│ │ ├── Strong Consistency
│ │ ├── Eventual Consistency
│ │ ├── Causal Consistency
│ │ └── Read-Your-Writes Consistency
│ ├── Replication
│ │ ├── Leader-Follower Replication
│ │ ├── Multi-Leader Replication
│ │ └── Leaderless Replication
│ ├── Sharding & Partitioning
│ ├── Data Replication Strategies
│ ├── Distributed Transactions
│ ├── Two-Phase Commit (2PC)
│ ├── Consensus Algorithms
│ │ ├── Paxos
│ │ └── Raft
│ ├── Split Brain Problem
│ ├── Quorum
│ ├── Distributed Locking
│ ├── Clock Synchronization
│ └── Idempotency
│
├── 9. Message Queues & Event Streaming
│ ├── Message Queue Fundamentals
│ ├── Synchronous vs Asynchronous Processing
│ ├── Producer-Consumer Pattern
│ ├── Message Brokers
│ ├── RabbitMQ
│ ├── Apache Kafka
│ ├── Redis Streams
│ ├── Amazon SQS
│ ├── Publish-Subscribe Pattern
│ ├── Event-Driven Architecture
│ ├── Topics & Partitions
│ ├── Consumer Groups
│ ├── Message Ordering
│ ├── Delivery Guarantees
│ │ ├── At-Most-Once
│ │ ├── At-Least-Once
│ │ └── Exactly-Once Semantics
│ ├── Dead Letter Queues
│ ├── Retry Mechanisms
│ ├── Event Replay
│ └── Event Sourcing
│
├── 10. Scalability & Performance
│ ├── Horizontal vs Vertical Scaling
│ ├── Stateless Services
│ ├── Database Scaling
│ ├── Read Replicas
│ ├── Database Sharding
│ ├── Partitioning Strategies
│ ├── Connection Pooling
│ ├── Query Optimization
│ ├── CDN & Edge Computing
│ ├── Data Compression
│ ├── Pagination
│ ├── Batching
│ ├── Rate Limiting
│ ├── Load Shedding
│ ├── Backpressure
│ ├── Hotspot Mitigation
│ └── Performance Bottleneck Analysis
│
├── 11. Reliability & Fault Tolerance
│ ├── Fault Tolerance Fundamentals
│ ├── Redundancy
│ ├── High Availability
│ ├── Failover Strategies
│ ├── Active-Active Architecture
│ ├── Active-Passive Architecture
│ ├── Circuit Breaker Pattern
│ ├── Retry Pattern
│ ├── Exponential Backoff
│ ├── Timeout Management
│ ├── Bulkhead Pattern
│ ├── Graceful Degradation
│ ├── Health Checks
│ ├── Disaster Recovery
│ ├── Backup & Restore
│ ├── RPO & RTO
│ └── Chaos Engineering
│
├── 12. Microservices Architecture
│ ├── Monolith vs Microservices
│ ├── Service Decomposition
│ ├── Domain-Driven Design (DDD)
│ ├── Bounded Contexts
│ ├── Service Discovery
│ ├── API Gateway
│ ├── Backend for Frontend (BFF)
│ ├── Inter-Service Communication
│ ├── Synchronous Communication
│ ├── Asynchronous Communication
│ ├── Database Per Service
│ ├── Saga Pattern
│ ├── CQRS
│ ├── Event Sourcing
│ ├── Distributed Tracing
│ ├── Service Mesh
│ ├── Sidecar Pattern
│ └── Microservices Deployment Strategies
│
├── 13. System Design Patterns
│ ├── Singleton Pattern
│ ├── Factory Pattern
│ ├── Observer Pattern
│ ├── Strategy Pattern
│ ├── Adapter Pattern
│ ├── Decorator Pattern
│ ├── Repository Pattern
│ ├── Dependency Injection
│ ├── API Gateway Pattern
│ ├── Strangler Fig Pattern
│ ├── Sidecar Pattern
│ ├── Ambassador Pattern
│ ├── CQRS Pattern
│ ├── Saga Pattern
│ ├── Outbox Pattern
│ ├── Retry Pattern
│ ├── Circuit Breaker Pattern
│ └── Bulkhead Pattern
│
├── 14. Security in System Design
│ ├── Authentication & Authorization
│ ├── OAuth 2.0
│ ├── OpenID Connect
│ ├── JWT
│ ├── Session-Based Authentication
│ ├── Role-Based Access Control (RBAC)
│ ├── Attribute-Based Access Control (ABAC)
│ ├── Encryption at Rest
│ ├── Encryption in Transit
│ ├── TLS
│ ├── Password Hashing
│ ├── API Security
│ ├── Rate Limiting & DDoS Protection
│ ├── SQL Injection
│ ├── Cross-Site Scripting (XSS)
│ ├── CSRF
│ ├── Secrets Management
│ ├── Zero Trust Architecture
│ └── Audit Logging
│
├── 15. Observability & Monitoring
│ ├── Logging
│ ├── Metrics
│ ├── Distributed Tracing
│ ├── OpenTelemetry
│ ├── Prometheus
│ ├── Grafana
│ ├── ELK Stack
│ ├── Alerting
│ ├── Health Monitoring
│ ├── SLI / SLO / SLA
│ ├── Error Budgets
│ ├── Latency Monitoring
│ ├── Throughput Monitoring
│ ├── Root Cause Analysis
│ └── Incident Management
│
├── 16. Cloud & Infrastructure
│ ├── Cloud Computing Fundamentals
│ ├── AWS / GCP / Azure
│ ├── Compute Services
│ ├── Storage Services
│ ├── Managed Databases
│ ├── Virtual Private Cloud (VPC)
│ ├── DNS & Networking in Cloud
│ ├── Object Storage (S3)
│ ├── Containers
│ ├── Docker
│ ├── Kubernetes
│ ├── Container Orchestration
│ ├── Infrastructure as Code
│ │ ├── Terraform
│ │ └── CloudFormation
│ ├── CI/CD Pipelines
│ ├── Blue-Green Deployment
│ ├── Canary Deployment
│ ├── Rolling Deployment
│ └── Serverless Infrastructure
│
├── 17. Storage Systems & File Architecture
│ ├── Block Storage
│ ├── File Storage
│ ├── Object Storage
│ ├── Distributed File Systems
│ ├── Content Delivery Networks
│ ├── File Upload Architecture
│ ├── Multipart Upload
│ ├── Resumable Uploads
│ ├── Data Deduplication
│ ├── Compression
│ ├── Data Retention
│ ├── Backup Strategies
│ ├── Blob Storage
│ └── Metadata Management
│
├── 18. Real-Time Systems
│ ├── WebSockets
│ ├── Server-Sent Events
│ ├── Long Polling
│ ├── Real-Time Notifications
│ ├── Presence Systems
│ ├── Heartbeats
│ ├── Live Chat Architecture
│ ├── Real-Time Collaboration
│ ├── Pub/Sub Architecture
│ ├── Fan-Out Strategies
│ ├── Online Gaming Architecture
│ └── Real-Time Data Processing
│
├── 19. Advanced Distributed Systems
│ ├── Distributed Hash Tables
│ ├── Consistent Hashing
│ ├── Gossip Protocol
│ ├── Merkle Trees
│ ├── Vector Clocks
│ ├── Lamport Clocks
│ ├── CRDTs
│ ├── Distributed Snapshots
│ ├── Leader Election
│ ├── Log Replication
│ ├── Stream Processing
│ ├── Apache Flink
│ ├── Apache Spark
│ ├── Data Locality
│ ├── Multi-Region Architecture
│ ├── Geo-Replication
│ └── Global Traffic Management
│
├── 20. Low-Level Design (LLD)
│ ├── Object-Oriented Design
│ ├── SOLID Principles
│ ├── DRY / KISS / YAGNI
│ ├── UML Class Diagrams
│ ├── Sequence Diagrams
│ ├── State Diagrams
│ ├── Class Relationships
│ ├── Composition vs Inheritance
│ ├── Interfaces & Abstractions
│ ├── Design Patterns
│ ├── Extensibility & Maintainability
│ ├── Concurrency in LLD
│ ├── Thread Safety
│ └── Common LLD Problems
│ ├── Parking Lot
│ ├── Library Management System
│ ├── Elevator System
│ ├── Splitwise
│ ├── BookMyShow
│ ├── Chess
│ └── Food Delivery System
│
├── 21. High-Level Design (HLD)
│ ├── Requirement Gathering
│ ├── Functional & Non-Functional Requirements
│ ├── API Design
│ ├── Database Schema Design
│ ├── Capacity Estimation
│ ├── Component Diagrams
│ ├── Data Flow Diagrams
│ ├── Architecture Diagrams
│ ├── Bottleneck Identification
│ ├── Scaling Strategies
│ ├── Reliability & Fault Tolerance
│ ├── Security Considerations
│ ├── Trade-off Analysis
│ ├── Architecture Documentation
│ └── End-to-End System Design
│
├── 22. System Design Case Studies
│ ├── URL Shortener (TinyURL)
│ ├── Pastebin
│ ├── Rate Limiter
│ ├── Notification System
│ ├── News Feed (Facebook / Instagram)
│ ├── Chat Application (WhatsApp)
│ ├── Video Streaming (YouTube / Netflix)
│ ├── Ride-Hailing (Uber)
│ ├── Food Delivery (Swiggy / Zomato)
│ ├── E-Commerce (Amazon)
│ ├── Payment System
│ ├── Search Engine
│ ├── File Storage (Google Drive / Dropbox)
│ ├── Ticket Booking (BookMyShow)
│ ├── Social Media Platform (X)
│ ├── Recommendation System
│ ├── Distributed Cache (Redis)
│ ├── Logging & Monitoring Platform
│ ├── Web Crawler
│ └── Video Conferencing System
│
├── 23. System Design Tools & Technologies
│ ├── Programming Languages
│ │ ├── Go
│ │ ├── Java
│ │ └── Python
│ ├── Databases
│ │ ├── PostgreSQL
│ │ ├── MySQL
│ │ ├── Redis
│ │ ├── MongoDB
│ │ └── Cassandra
│ ├── Message Brokers
│ │ ├── Kafka
│ │ └── RabbitMQ
│ ├── Networking & Proxy
│ │ ├── Nginx
│ │ └── HAProxy
│ ├── Infrastructure
│ │ ├── Docker
│ │ ├── Kubernetes
│ │ └── Terraform
│ ├── Monitoring
│ │ ├── Prometheus
│ │ ├── Grafana
│ │ └── OpenTelemetry
│ ├── API Testing
│ │ ├── Postman
│ │ └── curl
│ └── Architecture Documentation
│ ├── Excalidraw
│ ├── https://t.co/Er2z05X7Du
│ └── Mermaid
│
├── 24. System Design Practice
│ ├── Design Small Systems First
│ ├── Design a URL Shortener
│ ├── Design a Rate Limiter
│ ├── Design a Notification Service
│ ├── Design a Chat Application
│ ├── Design a News Feed
│ ├── Design a Video Streaming Platform
│ ├── Design a Ride-Hailing Platform
│ ├── Design a Payment Service
│ ├── Design a Distributed Cache
│ ├── Design a Search Engine
│ ├── Design a File Storage Service
│ ├── Design a Ticket Booking System
│ ├── Design a Real-Time Analytics System
│ ├── Document Design Decisions
│ ├── Identify Trade-offs
│ ├── Review Existing Architectures
│ └── Build End-to-End Projects
│
└── 25. Mastery & Career Preparation
├── Architectural Thinking
├── Breaking Down Complex Problems
├── Requirement Analysis
├── Capacity Estimation
├── Identifying Bottlenecks
├── Choosing the Right Components
├── Scalability Trade-offs
├── Reliability Engineering
├── Distributed Systems Thinking
├── Cost Optimization
├── Security-First Design
├── Architecture Reviews
├── Technical Documentation
├── System Design Interviews
├── Mock Design Interviews
├── Real-World Production Experience
└── Continuous Learning

FINAL GOAL:
Become an Exceptional System Designer
│
├── Design Scalable Applications
├── Build Reliable Distributed Systems
├── Understand Large-Scale Architectures
├── Make Strong Engineering Trade-offs
└── Design Systems Used by Millions of Users

[Sanskriti Naruka @snskritinaruka]

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[Raj Raushan Butter Reddio @macmaxman]

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[GPUNET @gpunet]

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[Raj Raushan Butter Reddio @macmaxman]

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[Raj Raushan Butter Reddio @macmaxman]

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[Raj Raushan Butter Reddio @macmaxman]

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[Raj Raushan Butter Reddio @macmaxman]

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[Raj Raushan Butter Reddio @macmaxman]

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