When should I use asynchronous replication?
An example of an AI chatbot conversation about when to use asynchronous replication.
What is asynchronous replication and when should I use it?
Asynchronous replication is a data replication method where changes are not immediately sent to the replica. It's useful when you can tolerate some delay in data consistency.
What are the benefits of using asynchronous replication?
The main benefits include reduced latency, improved performance, and the ability to handle larger distances between primary and replica databases.
Are there any downsides to using asynchronous replication?
Yes, the main downside is the potential for data loss if the primary fails before changes are replicated. It's important to assess your tolerance for this risk.
In what scenarios would you recommend using it?
I recommend using asynchronous replication in scenarios where high availability is crucial, but some data lag is acceptable, such as in disaster recovery setups.
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