Design Microservices Architecture with Patterns and Principles - CAP Theorem

The video tutorial explains the CAP theorem, which states that in a distributed system, consistency, availability, and partition tolerance cannot all be achieved simultaneously. It delves into each concept: consistency ensures data integrity, availability ensures system responsiveness, and partition tolerance allows the system to function despite network issues. The tutorial highlights the importance of partition tolerance in distributed architectures and discusses how NoSQL databases like MongoDB and Cassandra prioritize partition tolerance while balancing consistency and availability.

What does the CAP theorem state about distributed systems?

Explain the concept of consistency in the context of distributed systems.

What is meant by availability in distributed systems?

Describe partition tolerance and its importance in distributed systems.

How do NoSQL databases address the challenges posed by the CAP theorem?