Mitigating Failures - Amazon MemoryDB for Redis
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Mitigating Failures

When planning your MemoryDB for Redis implementation, you should plan so that failures have a minimal impact upon your application and data. The topics in this section cover approaches you can take to protect your application and data from failures.

Mitigating Failures: MemoryDB clusters

A MemoryDB cluster is comprised of a single primary node which your application can both read from and write to, and from 0 to 5 read-only replica nodes. However, we highly recommend to use at least 1 replica for high availability. Whenever data is written to the primary node it is persisted to the transaction log and asynchronously updated on the replica nodes.

When a read replica fails

  1. MemoryDB detects the failed replica.

  2. MemoryDB takes the failed node offline.

  3. MemoryDB launches and provisions a replacement node in the same AZ.

  4. The new node synchronizes with the transaction log.

During this time your application can continue reading and writing using the other nodes.

MemoryDB Multi-AZ

If Multi-AZ is activated on your MemoryDB clusters, a failed primary will be detected and replaced automatically.

  1. MemoryDB detects the primary node failure.

  2. MemoryDB fails over to a replica after ensuring it is consistent with the failed primary.

  3. MemoryDB spins up a replica in the failed primary's AZ.

  4. The new node syncs with the transaction log.

Failing over to a replica node is generally faster than creating and provisioning a new primary node. This means your application can resume writing to your primary node sooner.

For more information, see Minimizing downtime in MemoryDB with Multi-AZ.