Beginner Topic 17 of 51 Distributed Systems & Cloud
Replication Strategies
Leader-follower and multi-leader copying.
How it works
Replication keeps copies of data or services on multiple nodes to improve availability, durability and read performance. Single-leader replication sends writes to one primary that streams changes to followers, multi-leader allows writes in several places with conflict resolution and leaderless systems such as Dynamo-style stores write to several replicas and use quorums, with read repair and anti-entropy. Replication can be synchronous, waiting for acknowledgements, or asynchronous, trading durability for latency. State machine replication uses consensus to apply the same operations in the same order.
Where it is used
Databases, key-value stores, file systems, caches and configuration services replicate data. Cross-region replication supports disaster recovery and low-latency reads.
Common pitfall
Asynchronous replication lags, so followers can serve stale reads and recent writes may be lost on failover. Multi-leader and leaderless setups need conflict handling. Split brain occurs when two nodes both act as leader. Choose quorum sizes so that read and write sets overlap, monitor replication lag and test failover.
Where it fits in the course
Replication Strategies is topic 17 of 51 in Distributed Systems & Cloud, rated Beginner. It follows Fault Tolerance. The next topic is Consistency Models.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Distributed Systems & Cloud quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Distributed Systems & Cloud quiz, and revisit the topic if you miss a question.
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Related topics
- Fault Tolerance (Distributed Systems & Cloud)
- Consistency Models (Distributed Systems & Cloud)
- Caching Layers (Distributed Systems & Cloud)
- Clock Synchronization (Distributed Systems & Cloud)
- Deployment Strategies (DevOps & Tooling)
- Replication (Databases)
- Caching Strategies (Web Development)