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🏗️ System Design: Creating a High-Level Design (HLD)

High-Level Design (HLD) provides a bird’s-eye view of the architecture. It focuses on the overall structure, key components, communication, and data flow — without diving into implementation details.


🎯 Purpose of HLD


🧩 Key Elements of a High-Level Design

1. System Context Diagram

Describes how the system fits into the external world.

- Who are the users?
- What external systems does it integrate with?
- What protocols (HTTP, WebSocket, gRPC, etc.)?

2. Component Breakdown

Break the system into major modules or services.

- API Gateway
- Authentication Service
- User Service
- Notification Service
- Database Layer

3. Communication Patterns

How components talk to each other.

- Synchronous (REST, gRPC)
- Asynchronous (Kafka, RabbitMQ, SQS)

4. Data Flow & Storage

Define what data is stored and how it flows between components.

- DBs: PostgreSQL, MongoDB, Redis
- Caches: Redis/Memcached
- File Storage: S3, Blob Storage

5. Availability & Scalability Plans

Show how the system will scale and handle failures.

- Load Balancers (HAProxy, ALB)
- Auto-scaling groups
- Database replication
- Failover mechanisms

6. Technology Stack

Summarize key technologies.

- Frontend: React
- Backend: Node.js, Spring Boot
- DB: PostgreSQL
- Queue: Kafka
- CI/CD: GitHub Actions

7. Key Non-Functional Requirements

- Latency requirements (e.g., < 200ms for key APIs)
- Throughput (e.g., 1,000 RPS peak)
- Uptime SLAs (e.g., 99.9%)
- Security (e.g., JWT, OAuth, mTLS)

📐 Sample HLD Process (Step-by-step)

1. Understand requirements (functional + non-functional)
2. Identify main actors and use cases
3. Draft system context diagram
4. Define main components/services
5. Design interactions and APIs between components
6. Choose tech stack based on trade-offs
7. Plan for scaling, failure, and observability
8. Review with stakeholders (team, architects)

📝 Example: Social Media Feed System

- API Gateway
  - Handles client traffic, forwards to backend
- Feed Service
  - Aggregates posts from followed users
- Post Service
  - Creates, updates, stores posts
- User Service
  - Manages profiles, followers
- Redis Cache
  - Stores recent posts for quick access
- PostgreSQL
  - Stores posts and user metadata
- Kafka
  - Event-driven updates between services

📊 Diagram Examples (Not rendered here)


✅ Tips for a Good HLD

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