Dev Tools · 1h ago
How an 18 TB Azure SQL Hyperscale Database Smoothed CPU Spikes
A team optimized an 18 TB Azure SQL Hyperscale database by reducing CPU baseline load and spikes. They used a queue pattern to spread heavy calculations and moved read-heavy clients to replicas. The database grew to 32 vCores, but optimization focused on peak load rather than average.
Meridian48 take
The piece offers practical, vendor-specific advice for scaling large databases, but its lessons on load smoothing and replica offloading apply broadly.
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Optimizing an 18 TB Azure SQL Hyperscale Database — Part 2: Smoothing the CPU Load →
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