System Design: 11 basic & essential concepts

Below is from a post by Kartikeya Sapra on LinkedIn

11 basic & essential concepts:

1. Scalability
- Ensures systems can handle increased load and grow efficiently.

Link → https://lnkd.in/dD-GZpVq

2. Latency vs Throughput
- Balances speed and capacity in system performance.

Link → https://lnkd.in/dscK9g3E

3. CAP Theorem
- Explains the trade-offs between consistency, availability, and partition tolerance in distributed systems.

Link → https://lnkd.in/dFpgDSnY

4. ACID Transactions
- Guarantees reliable database processing through atomicity, consistency, isolation, and durability.

Link → https://lnkd.in/dkkmMu_D

5. Rate Limiting
- Controls the amount of incoming and outgoing traffic to prevent overload and abuse.

Link → https://lnkd.in/dY9NqRG9

6. API Design
- Ensures APIs are user-friendly, efficient, and maintainable.

Link → https://lnkd.in/dTgxGa5i

7. Strong vs Eventual Consistency
- Balances the need for immediate data consistency versus eventual data accuracy in distributed systems.

Link → https://lnkd.in/dQDwa7TQ

8. Distributed Tracing
- Helps monitor and debug complex, distributed systems by tracking requests across multiple services.

Link → https://lnkd.in/dA-3swq2

9. Synchronous vs Asynchronous Communications
- Determines how systems interact, either waiting for responses (synchronous) or continuing independently (asynchronous).

Link → https://lnkd.in/dx2nFDgR

10. Batch Processing vs Stream Processing
- Differentiates between processing large volumes of data at once (batch) and processing data in real-time (stream).

Link → https://lnkd.in/dqGFQppV

11. Fault Tolerance
- Ensures systems remain operational despite failures or errors.

Link → https://lnkd.in/dzKWh4ju