Wednesday, November 20, 2024

Key concepts in System Design

 System Design




  1. Load Balancing: Distributes incoming traffic across multiple servers to improve performance and availability.
  2. Caching: Stores frequently accessed data for quicker retrieval, reducing latency.
  3. Sharding: Splits a database into smaller, manageable parts for better performance and scalability.
  4. Replication: Copies data across multiple servers to ensure high availability and fault tolerance.
  5. Message Queues: Enables asynchronous communication, improving scalability and decoupling system components.
  6. Horizontal Scaling: Adds more servers to handle increased load, distributing workload across multiple machines.
  7. Vertical Scaling: Enhances the capacity of a single server by adding more resources (CPU, RAM, etc.).
  8. CAP Theorem: States that in distributed systems, you can only achieve two of the following three: Consistency, Availability, and Partition Tolerance.
  9. API Gateway: Manages API requests, aggregates responses, and provides centralized security and routing.
  10. Circuit Breaker Pattern: Prevents cascading failures by halting repeated failed operations.
  11. Monolithic Architecture: A single codebase containing interdependent components, simpler initially but harder to scale.
  12. Microservices: Breaks applications into smaller, independent services for better manageability and scalability.
  13. Fault Tolerance: Ensures the system continues functioning despite component failures by using redundancy.
  14. Service Discovery: Helps services dynamically locate and communicate with each other.
  15. Database Indexing: Speeds up data retrieval using indexed columns in the database.
  16. Rate Limiting: Controls the number of requests to ensure stability and prevent overload.
  17. Data Partitioning: Divides datasets into smaller parts to optimize performance.
  18. Event-Driven Architecture: Triggers actions based on events, enhancing inter-service communication.
  19. Consistent Hashing: Uniformly distributes data across nodes to minimize reorganization when scaling.
  20. Proxy Servers: Acts as intermediaries to enhance security, load balancing, and caching.

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