Data replication is critical for building reliable, large-scale distributed systems. In this issue, we will explore common replication strategies and key factors in choosing a suitable strategy. Throughout this issue, we will use databases as examples. Note that they are not the only data sources where replication can be useful. Replication could apply to cache servers like Redis and even application servers for critical in-memory data structures.

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Data Replication is critical for building reliable, large-scale distributed systems. We'll explore three main replication strategies: Leader-Follower, Multi-Leader, and Leaderless. Improving durability is perhaps the single most important reason for data replication. When a single database server fails, it could lead to catastrophic data loss and downtime.

Data Replication: A Key Component for Building Large-Scale Distributed Systems

<p>Nice introduction to the subject. Being a great fan of the Leader-follower database pattern, I would have honestly appreciated a more thorough analysis to the downsizes of this approach.</p>
<p>Also I believe a discussion about the CAP theorem would have been beneficial for completeness sake.</p>
