CAP vs BASE vs SOLID vs KISS

CAP vs BASE vs SOLID vs KISS 

CAP vs BASE vs SOLID vs KISS 

CAP Theorem:

Consistency,  Availability, Partition Tolerance:

CAP

• Consistency: All nodes in a distributed system see the same data at the same time.
• Availability: Every request to a non-failing node in the system receives a response without guarantee that it contains the most recent version of the data.
• Partition Tolerance: The system continues to operate even when network partitions occur.

It states that in a distributed database, it's impossible to simultaneously provide all three guarantees.

BASE Model:

Basically Available, Soft state, Eventually consistent:

BASE Model

• Basically Available: Guarantees availability.
• Soft state: The state of the system may change over time even without input.
• Eventually Consistent: The system will become consistent over time, given that it doesn't receive further input.

SOLID Principles:

Design principles for writing maintainable and scalable software:

SOLID

1. Single Responsibility Principle (SRP): 

A class should have only one reason to change.

2. Open/Closed Principle (OCP): 

Software entities (classes, modules, and functions) should be open for extension but closed for modification.

3. Liskov Substitution Principle (LSP): 

Subtypes must be substitutable for their base types without altering the correctness of the program.

4. Interface Segregation Principle (ISP): 

A class should not be forced to implement interfaces it does not use.

5. Dependency Inversion Principle (DIP): 

High-level modules should not depend on low-level modules. Both should depend on abstractions.

KISS Principle:

Keep It Simple, Stupid:

KISS

• Encourages simplicity in design and implementation.
• Simplicity is preferred over complexity, as it leads to easier maintenance, less error-prone code, and better scalability.
• It emphasizes avoiding unnecessary complexity that can hinder understanding and increase the likelihood of bugs.

Each of these principles and theorems addresses different aspects of software design, distributed systems, and system architecture. Following these principles can lead to more robust, maintainable, and scalable software solutions.