Imagine you have a busy online store. You want to make sure many customers can browse products quickly without slowing down the main database that handles orders. How do read replicas help in this situation?
Think about separating read and write tasks to improve speed.
Read replicas create copies of the main database that handle read requests. This reduces the work the main database must do, improving overall performance.
You run a web app with a main database and several read replicas. What is a good reason to add more read replicas?
Think about how read replicas share the work of reading data.
Adding more read replicas spreads out the read requests, so each replica handles fewer queries, improving read performance.
In AWS RDS, if the main database instance fails, what happens to the read replicas?
Consider what read replicas are designed for and how failover is handled.
Read replicas serve read traffic and do not automatically become writable. Failover requires promotion of a replica to writable manually or via specific configurations.
Which practice best protects sensitive data on AWS read replicas?
Think about keeping data safe both at rest and during access.
Read replicas should use encryption like the main database and have strict network controls to prevent unauthorized access.
You notice your AWS RDS read replicas have high replication lag, causing stale data for users. Which action best reduces this lag?
Think about what affects how fast replicas can apply changes.
Replication lag often happens when replicas cannot process changes fast enough. Increasing their instance size gives more CPU and memory to reduce lag.