In the Scale Trigger Decision Framework, what is a database scaling threshold?

In the Scale Trigger Decision Framework, what is a database scaling threshold?

• A. CPU utilization exceeds 90%.
• B. Memory usage exceeds 1 TB.
• C. Storage exceeds 5 TiB.
• D. Writes exceed 10k TPS or storage exceeds 50 TiB.

Answer: (D)

Scale decisions for a database are driven by actual workload and capacity needs, not just raw resource counts. A threshold that looks at how hard you’re writing (writes per second) and how much data you’re storing directly signals when you’re hitting limits in throughput or capacity, which is when scaling actions—like adding replicas, re-partitioning, or provisioning more storage—become necessary. If writes surge to 10,000 transactions per second or the total storage climbs past 50 TiB, you’re confronting both heavy write pressure and growing data volume, which typically require scaling to maintain performance and availability. In contrast, relying on CPU or memory alone can be misleading: high CPU might occur for reasons not requiring scale, while memory or a fixed storage threshold doesn’t by itself reflect ongoing demand or growth. Hence this threshold best captures when scaling should kick in.

Scale decisions for a database are driven by actual workload and capacity needs, not just raw resource counts. A threshold that looks at how hard you’re writing (writes per second) and how much data you’re storing directly signals when you’re hitting limits in throughput or capacity, which is when scaling actions—like adding replicas, re-partitioning, or provisioning more storage—become necessary.

If writes surge to 10,000 transactions per second or the total storage climbs past 50 TiB, you’re confronting both heavy write pressure and growing data volume, which typically require scaling to maintain performance and availability. In contrast, relying on CPU or memory alone can be misleading: high CPU might occur for reasons not requiring scale, while memory or a fixed storage threshold doesn’t by itself reflect ongoing demand or growth. Hence this threshold best captures when scaling should kick in.