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Understanding how ACU minimum and maximum range impacts scaling in Amazon Aurora Serverless v2
- Part 2 of the two-part blog post series explains how the minimum and maximum configuration of ACUs impact scaling behavior in Aurora Serverless v2 and the speed at which scaling occurs after it starts.
- Aurora Serverless v2 provides an on-demand, auto scaling configuration for Amazon Aurora with the ACU as the unit of measure.
- Each Aurora Serverless v2 workload requires unique minimum and maximum ACU requirements. Finding the right ACU configuration is essential.
- Aurora Serverless v2 automatically scales the capacity of your database up and down in fine-grained increments called ACUs.
- The scaling of Aurora Serverless v2 DB clusters works based on the workload on your database.
- The scaling process of Aurora Serverless v2 is transparent and seamless and does not disrupt database operations or connections.
- Observations revealed that Aurora Serverless v2 was responsive to scaling and had a more gradual scaling down process when higher ACU limits were set.
- Based on the authors' findings, they recommend setting a balanced minimum ACU, setting a scalable maximum ACU, optimizing queries, and performing regular load testing to verify that the ACU settings can handle peak loads.
- Aurora Serverless v2 offers a robust solution for businesses seeking flexible and cost-effective database management.
- Authors of this article are Priyanka, Database Specialist Solutions Architect at AWS, and Venu Koneru, a Database Specialist Solutions Architect at Amazon Web Services (AWS).
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