𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗥𝗲𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀

𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗥𝗲𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀

You need database replication for high availability and disaster recovery. Your choice impacts consistency, latency, and failure tolerance.

Leader-follower is the most common pattern.

• One node handles writes.
• Followers handle reads.
• A follower takes over if the leader fails.
• Use this for read-heavy workloads.

Synchronous replication waits for confirmation. This protects your data. It increases latency.

Asynchronous replication does not wait. It is fast. You risk some data loss during failure.

Multi-leader replication lets several nodes accept writes.

• Use this for global writes.
• It increases availability.
• It adds complexity for conflict resolution.

Quorum replication uses a set number of nodes for confirmation.

• Writes need a quorum of nodes.
• Reads need a quorum of nodes.
• This system survives node failures without data loss.

Pick your strategy based on consistency needs.

• Synchronous gives strong consistency but slow speed.
• Multi-leader gives global access but high complexity.

Source: https://dev.to/therizwansaleem/database-replication-leader-follower-multi-leader-and-quorum-patterns-4i2m Optional learning community: https://rizwansaleem.co