Replication

Replication keeps copies of data on several nodes for durability and read scaling. These lessons implement leader-follower and multi-leader replication, replication lag and failover.

9 lessons across 6 courses

Replication lessons by course

Distributed Key Value Store : DurableKV

View course →
  1. Day 8: Replicate Writes Asynchronously to Multiple Nodes with a WAL Stream — and Accept Divergence
  2. Day 12: Replicate the Write-Ahead Log to a Second Node — and Watch It Fall Behind

Testing & TDD: Building Resilient Distributed Systems

View course →
  1. Day 5: Replicate the Write-Ahead Log to a Second Node — and Watch It Fall Behind

Hands On Kafka Course

View course →
  1. Lesson 4 : Throughput Optimization, Transactions & Replication

Hands On System Design with Distributed Systems Implementation

View course →
  1. Lesson 4: Build a Distributed Log Storage Cluster — Replication, Quorums, and Repair

Hands-On Distributed Systems Engineering in Go

View course →
  1. Day 49: Log Replication and the State Machine

Hands-On Distributed Systems Engineering in Java

View course →
  1. Day 17: Read Splitting – Master-Slave Replication

Related topics

Storage Engines & Indexing (38) Consensus & Leader Election (18) Sharding & Partitioning (17) Distributed Transactions (7) Consistent Hashing (5) Consistency Models & CAP (4) All topics →