Top 7 Most-Used Distributed System Patterns

Title: Top 7 Most-Used Distributed System Patterns

Channel: ByteByteGo

Description: Get a Free System Design PDF with 158 pages by subscribing to our weekly newsletter.: https://blog.bytebytego.com Animation tools: Adobe Illustrator and After Effects. Checkout our bestselling System Design Interview books: Volume 1: https://amzn.to/3Ou7gkd Volume 2: https://amzn.to/3HqGozy The digital version of System Design Interview books: https://bit.ly/3mlDSk9 ABOUT US: Covering topics and trends in large-scale system design, from the authors of the best-selling System Design Interview series.

Tutorial: Understanding the Top 7 Most-Used Distributed System Patterns

1. Introduction to Distributed Systems:

   • Distributed systems consist of multiple computers that communicate and coordinate actions in order to appear as a single coherent system to the end-users.

2. Pattern 1: Master-Slave:

   • This pattern involves a single master node that controls multiple slave nodes. The master distributes tasks to the slaves and collects results from them.

3. Pattern 2: Leader-Follower:

   • In this pattern, one node is designated as the leader and makes decisions, while the followers replicate the leader's actions to maintain consistency.

4. Pattern 3: Publish-Subscribe:

   • This pattern involves publishers who send messages to a central broker, which then distributes these messages to subscribers who have expressed interest in receiving them.

5. Pattern 4: Sharding:

   • Sharding involves partitioning data into smaller subsets called shards, which are distributed across multiple nodes. This helps improve scalability and performance.

6. Pattern 5: Replication:

   • Replication involves creating copies of data across multiple nodes to ensure fault tolerance and availability. Changes made to one copy are propagated to others.

7. Pattern 6: Load Balancing:

   • Load balancing distributes incoming network traffic across multiple servers to ensure no single server is overwhelmed, thereby improving performance and reliability.

8. Pattern 7: Consensus:

   • Consensus algorithms like Raft or Paxos are used to achieve agreement among a distributed group of nodes, even in the presence of failures.

By understanding and implementing these top 7 distributed system patterns, you can design more robust, scalable, and reliable distributed systems for various applications.

Remember to check out the resources provided by ByteByteGo for further insights and tools to enhance your system design skills.