"It also happens as a result of bundled resource constraints when cloud providers package up resources (CPU, RAM, analytics, AI calls and I/O) into fixed instance types. It also happens as a result of lack of real-time visibility into system requirements on a day-to-day (or even hour-by-hour) basis... and overprovisioning also comes about due to low quality query and schema optimisation (the database may feel slow due to inefficient SQL queries, missing indexes or poor schema design)"
"We know that overprovisioning is often endemic when teams are forced to align for more capacity than necessary as a risk aversion tactic to support peak load provisioning. Nobody wants databases to experience downtime and this is why it happens. It also happens as a result of bundled resource constraints when cloud providers package up resources (CPU, RAM, analytics, AI calls and I/O) into fixed instance types."
ScyllaDB X Cloud offers a truly elastic database with auto-scaling so capacity can be increased rapidly and precisely when required, then scaled back to avoid wasted resources. Overprovisioning often stems from risk-averse peak-load provisioning, bundled cloud instance resource packages, and lack of real-time visibility into changing system needs. Inefficient queries, missing indexes, poor schema design, and inflexible legacy architectures with storage resize limitations also drive the tendency to over-order. The platform aims to provide predictable performance for high-throughput, ultra-low-latency workloads while reducing the need for unnecessary reserved capacity through precise scaling and cloud-native elasticity.
Read at Techzine Global
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