CAP Theorem Explained: The Impossible Trade-Off in Distributed Systems! - Consistency & Availability

This video covers the very difficult trade-off between consistency and availability in Distributed Systems using the CAP Theorem. I talk about Consistency, Availability and Partition Tolerance and how it affects distributed systems?
Hi I am Gourav Dhar, a software developer and in this video, I break down what the CAP Theorem is, using real-world examples and help you understand why Consistency, Availability, and Partition Tolerance can't all be achieved together.

I talk about :
- CAP Theorem Explained in simple terms.
- How the CAP Theorem impacts distributed systems and big data.
- Why global online stores prioritise either availability or consistency.
- Real-life examples of the CAP Theorem in action, and how it affects your shopping experience.
- What partition tolerance means in the CAP Theorem.

Whether you're preparing for a system design interview, learning about distributed systems, or just curious about the CAP Theorem, this video will help you understand the key concepts without any confusion.

Subscribe to my channel ‪@codewithgd‬ (Code with GD) for more

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