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Arpit Bhayani Blogs

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Arpit Bhayani Blogs
001 Ai Topological Sort

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TLDR: Multi-Master Replication - Scaling Writes Across Geographies

Date: 2021-11-03 Source: https://arpitbhayani.me/blogs/multi-master-replication

Overview

Explore Multi-Master replication - its benefits like load sharing and high availability, use cases, and key challenges to consider. A not-so-common yet super-useful replication strategy is Multi-Master replication - in which multiple nodes in the cluster accept writes, contrary to what is observed in a typical Master-Replica replication.

Key Points

  • A not-so-common yet super-useful replication strategy is Multi-Master replication - in which multiple nodes in the cluster accept writes, contrary to what is observed in a typical Master-Replica replication.
  • Sharing Load: The most common reason to have a Multi-Master setup is to allow our database cluster to handle more write traffic than a single node.
  • Maintaining a second copy: The second common scenario where Multi-Master comes in handy is when we want to keep a second consistent copy of our Master database, which is also required to accept the write requests.
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  • Need of a split-brain: The third but particular reason for a Multi-Master setup is where having a split-brain is the necessity and the core of the system.
  • Eventual Consistency: With the replication between Multi-Master being asynchronous, the updates made on one Master will take some time to reflect on the other Masters, making the system eventually consistent.
  • Sluggish Performance: Every update happening on one Master needs to be sent to every other Master node in the cluster.

    • Takeaway

    The main concern while running a database in Multi-Master mode is Conflict.