avinash201199 / System-Design-KIT

# System Design Kit ⚙️
> A curated collection of essential resources, case studies, tools, courses, and playbooks to help you master System Design — from designing your first API to architecting distributed systems that scale to millions of users.
**GitHub Description:** `A curated collection of resources, case studies, tools, and roadmaps to help you go from system design beginner to confidently architecting large-scale distributed systems.`
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## About
System design is the skill that separates a good engineer from a great one.
This is a curated directory of the best system design resources for every stage of your journey — from understanding client-server architecture to designing systems like YouTube, WhatsApp, and Uber at scale. Whether you're a student preparing for FAANG interviews, an engineer leveling up, or an architect designing production systems, you'll find books, courses, case studies, tools, and communities for every level.
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## Who Is This For?
- **Students** — Preparing for SDE interviews at product companies
- **Backend Engineers** — Leveling up from writing code to designing systems
- **Senior Engineers** — Preparing for Staff / Principal interviews
- **Engineering Managers** — Understanding trade-offs in architectural decisions
- **Founders & CTOs** — Making the right architectural bets early
- **Anyone** who wants to think in systems, not just code
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## What's Inside?
- **Roadmaps** — Step-by-step paths from basics to advanced
- **Foundational Concepts** — Networking, protocols, and distributed systems basics
- **Scalability** — Horizontal/vertical scaling, load balancing, and caching
- **Databases** — SQL vs NoSQL, sharding, replication, and CAP theorem
- **Caching** — Strategies, invalidation, CDN, and Redis patterns
- **Messaging & Queues** — Kafka, RabbitMQ, and async communication
- **API Design** — REST, GraphQL, gRPC, and WebSockets
- **Storage & File Systems** — Object storage, blob storage, and CDNs
- **Microservices** — Service decomposition, communication, and patterns
- **Security at Scale** — Auth, rate limiting, and DDoS protection
- **Reliability & Availability** — Fault tolerance, SLAs, and disaster recovery
- **Monitoring & Observability** — Metrics, logs, traces, and alerting
- **Real-World Case Studies** — How top companies built their systems
- **Interview Prep** — Frameworks, templates, and practice problems
- **Books & Courses** — The best learning resources
- **Tools** — Diagramming, load testing, and architecture tools
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## 📋 Table of Contents
- Roadmaps
- Foundational Concepts
- Scalability
- Load Balancing
- Caching
- Databases
- Replication & Sharding
- CAP Theorem & Consistency
- API Design
- Messaging & Event Streaming
- Microservices Architecture
- Storage & CDN
- Search Systems
- Rate Limiting & Throttling
- Authentication & Authorization at Scale
- Reliability & Fault Tolerance
- Monitoring & Observability
- Distributed Systems Concepts
- Real-World Case Studies
- System Design Interview