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Leader Election in Distributed Systems (article, free)
In the article 'Leader Election in Distributed Systems,' you'll dive into the intricacies of leader election algorithms, a fundamental concept in distributed systems. Explore the challenges of achieving consensus in distributed environments and learn about various algorithms like Raft and Paxos. Discover how these algorithms enable the selection of a leader node that coordinates the system's operations, ensuring fault tolerance and high availability. Gain insights into implementation considerations, failure scenarios, and best practices for building robust distributed systems.
Tushar Roy System Design Playlist (video, free)
Tushar Roy's YouTube playlist on system design is a comprehensive collection of videos that provide valuable insights into the world of designing scalable and distributed systems. With clear explanations and examples, Tushar Roy covers a wide range of topics, including distributed caching, load balancing, database sharding, consistent hashing, and much more. This playlist is a great resource for anyone looking to enhance their understanding of system design principles and best practices.
TAO: Facebook’s Distributed Data Store for the Social Graph (white paper, free)
"TAO: Facebook's Distributed Data Store for the Social Graph" is a groundbreaking white paper that introduces TAO, a distributed data storage system developed by Facebook specifically designed to handle the immense scale and complexity of their social graph. The paper delves into the challenges Facebook faced in storing and accessing billions of social connections and presents TAO as an efficient and highly available solution. With a focus on data locality and strong consistency guarantees, TAO enables rapid read and write operations, efficient caching, and fault tolerance across multiple data centers. This white paper provides valuable insights into the design principles and techniques employed by Facebook to manage its social graph at an unprecedented scale.