Exploring Key Distributed System Algorithms and Concepts Series

Distributed systems play a pivotal role in the modern tech landscape, powering everything from cloud computing to large-scale web applications. If you're eager to dive into the world of distributed systems, a series of articles by Gurpreet Singh on Medium can be your guiding light. In this series, you'll explore key distributed system algorithms and concepts that form the foundation of this intricate field.

Exploring Key Distributed System Algorithms and Concepts Series

Gurpreet Singh's series takes you on a journey through various distributed system algorithms and concepts. Each article is a treasure trove of knowledge, offering valuable insights into the intricacies of distributed systems. Here's a brief overview of the series:

Article 1: Markel Tree

In this first installment, Gurpreet introduces the concept of Markel Trees and discusses their significance in data verification and integrity. Markel Trees serve as a foundation for understanding more complex distributed system algorithms. Read the article

Article 2: Consistent Hashing

Article 2 explores the world of consistent hashing, a fundamental concept in distributed systems. It explains how consistent hashing is used to distribute data across nodes efficiently while maintaining the balance of loads. Read the article

Article 3: Read Repair and Gossip Protocol

This article delves into the essential topics of read repair and gossip protocols. It explains how these mechanisms are crucial for managing data consistency and maintaining the health of distributed systems. Read the article

Article 4: Bloom Filter and HeartBeat

Explore Bloom filters and heartbeats, two important tools distributed systems use for efficient data retrieval and failure detection. Read the article

Article 5: CAP and PACELC Theorems

Article 5 presents a detailed look at the CAP theorem and its extension, the PACELC theorem. These theorems are key considerations for distributed system designers and architects aiming to balance availability, consistency, and partition tolerance. Read the article

Article 6: Two-phase commit (2PC) and Paxos

This article is a deep dive into two significant consensus algorithms: the Two-Phase Commit (2PC) and Paxos. It provides insights into how these algorithms ensure that distributed systems maintain their integrity even in the face of failures.

Article 7: Trie and Leaky Bucket

Dive into the world of tries and leaky buckets, exploring data structures and algorithms used in distributed systems for various purposes. Read the article

Article 8: QuadTree and Geohash

Article 8 introduces readers to quadtrees and Geohash, explaining how they play a crucial role in spatial indexing and location-based data retrieval, making them invaluable in distributed systems handling geospatial data. Read the article

Article 9:

In the final installment, the article dives into Distributed Hash Tables (DHTs), the Raft consensus algorithm, and the importance of physical clocks in distributed systems. These topics cover a wide range of critical aspects of distributed computing. Read the article

These articles provide a comprehensive exploration of distributed system algorithms and concepts, making them an invaluable resource for developers, engineers, and anyone interested in understanding the intricate world of distributed computing. Each piece is well-researched and packed with practical insights, ensuring you gain a deep understanding of the topics covered. So, if you're ready to embark on your distributed systems journey, Vertisytem's Gurpreet Singh series is the perfect place to start.

Follow us at https://vertisystem.medium.com/

Happy learning!