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Storage capacity

Storage capacity is the amount of persistent data a storage resource can hold or has available for use.

How 2 Manning books explain it

MongoDB 8.0 in Action, Third Edition

Disk space, or storage capacity, is the amount of persistent storage available or provisioned for database data and related processing requirements.

How it is used
Configures persistent capacity for Atlas database workloads while balancing scaling behavior, performance, cost, and operational headroom.
How deep it goes
Explains tier-specific storage classes, provider-specific autoscaling, thresholds, delays, and scale-down limits without detailing administrative commands.
Examples
Uses M40+ storage classes, 90% disk usage, provider-specific growth targets, and bulk-insert preparation as concrete cases.
What you can do after
Operate/configure it through Atlas tier and storage settings, and plan capacity before workloads that can outpace automatic scaling.

Read how MongoDB 8.0 in Action, Third Edition explains storage capacity →

ScyllaDB in Action

Disk space is the persistent storage capacity available for database data and related files.

How it is used
Guides production cluster sizing by translating stored data, replication, growth, and compaction overhead into disk requirements.
How deep it goes
Provides a sizing formula and storage-medium guidance, but defers exact capacity to workload testing.
Examples
Uses a one-terabyte application with replication factor three to derive six terabytes of cluster disk capacity.
What you can do after
Operate/configure a baseline disk allocation for a ScyllaDB cluster and refine it through production-level workload testing.

Read how ScyllaDB in Action explains storage capacity →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.