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Arpit Bhayani Blogs
001 Ai Topological Sort

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TLDR: Leaderless Replication

Date: 2022-01-16 Source: https://arpitbhayani.me/blogs/leaderless-replication

Overview

Explore leaderless replication - a fault-tolerant, strongly consistent data replication strategy. Learn how it works and its benefits. Traditional leader-centric replication strategies revolve around the fact that there will be one Master (leader) node that will acknowledge and accept all the writes operations and then replicate the updates across the replicas (read or master).

Key Points

  • Traditional leader-centric replication strategies revolve around the fact that there will be one Master (leader) node that will acknowledge and accept all the writes operations and then replicate the updates across the replicas (read or master).
  • Write Operation: Say we have a database cluster of 5 nodes (all Masters).
  • Read Operation: Given that there could be a significant delay in the updates to propagate across all N nodes, the Read strategy in Leaderless Replication needs to be robust enough.
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105 Data Partitioning
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107 Conflict Resolution
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108 Conflict Detection
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109 Multi Master Replication
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113 Replication Formats
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115 Master Replica Replication
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116 Durability
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117 Isolation
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  • Approaches for Leaderless Replication: Now that we understand Leaderless Replication, we look at approaches to implementing it.
  • Strong Consistency: Leaderless Replication is strongly consistent by default.
  • Fault tolerance by design: Leaderless Replication is fault-tolerant by design with no Single Point of Failure in the setup.

    • Takeaway

    Leaderless Replication is fault-tolerant by design with no Single Point of Failure in the setup.