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Introduction to CRDTs in the Industry

Imagine you're watching a movie on your favorite streaming platform let's say - Netflix. The movies you're watching are recommended through a distributed network of systems processing large volumes of data to improve your movie-watching experience. Now, add millions of people doing the same thing concurrently while also adding their own ratings and reviews. This collaborative environment exemplifies a common use case where Conflict-free Replicated Data Types or CRDTs are essential.

CRDTs are used across various industries to handle data in a collaborative and distributed computing environment. To put it in perspective, think of CRDTs as an integral part of a server that manages shared resources, such as movie recommendations for different users. In an environment with such high collaboration levels, conflict scenarios are a real possibility. It's here that CRDTs find their relevance; by ensuring conflict-free data replication across multiple machines.

To illustrate this, consider a distributed system where multiple users are watching the same movie. As they watch, they also increment the movie's view counter. The Python code provided models this scenario and simulates how the use of CRDTs can manage potential conflicts in such an environment. By enabling the system to handle increments from multiple users concurrently, this allows the movie-viewing and the view-counting to happen smoothly and conflict-free.

This explains the widespread use of CRDTs in industries like online streaming platforms, collaborative software, mobile apps, and online gaming platforms. Handy in scenarios with potential conflicts due to incremented movie views, to managing complex, evolving game states in multi-player online games, or even enabling real-time collaboration in software like Google Docs, CRDTs ensure smooth, conflict-free operation in distributed systems.

This course aims to provide insights into the practical applications of CRDTs in various industries, their importance, and how they're shaping the future of distributed computing.

PYTHON
OUTPUT
:001 > Cmd/Ctrl-Enter to run, Cmd/Ctrl-/ to comment