Aurora Serverless automatically starts, scales, and shuts down database capacity based on demand. You get Aurora’s performance without provisioning or managing instances — ideal for variable or intermittent workloads.
When to choose it
The tell is a relational workload with unpredictable or infrequent traffic — a dev/test database, a new app with unknown load, or spiky usage — where paying for an always-on instance would waste money. Steady heavy load still favors provisioned Aurora.
Test yourself
A new application has unpredictable, intermittent database traffic and the team doesn’t want to pay for a database running 24/7. Which option?
- Provisioned Aurora with a large instance
- Aurora Serverless
- A fixed RDS Single-AZ instance
- DynamoDB provisioned capacity
👉 Click to reveal the answer & explanation
Correct answer: B. Aurora Serverless scales capacity up and down (even to zero) with demand, so you pay for what you use — ideal for intermittent, unpredictable load. Provisioned options (A, C) pay for always-on capacity; DynamoDB (D) is NoSQL, not a relational fit here.
Related topics
Amazon Aurora · Amazon RDS · RDS Proxy
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