Distributed locking is a key concept in ensuring data integrity and consistency in distributed systems. In this video we explore distributed locking mechanisms including centralized locking, token-based locking, and quorum-based locking, explaining their principles, advantages, and limitations.
We then look into Redis based Redlock, a widely adopted quorum-based locking algorithm that provides high availability and fault tolerance. We break down the Redlock algorithm step by step, highlighting how it leverages multiple Redis instances to achieve consensus on lock acquisition.
Throughout the video, I emphasize the importance of distributed locking in maintaining data integrity and preventing conflicts in concurrent systems.
We also discuss real-world applications of distributed locking, such as managing inventory in e-commerce systems and coordinating access to shared resources in cloud environments.
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Timestamps -
00:00 - Introduction
01:11 - Distributed Lock
01:55 - Optimistic vs. Distributed Locking
03:14 - Ideal Distributed Locking
03:41 - Distributed Locking Algorithms
06:59 - Distributed Locking with Redis
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