Databases metrics and dimensions

This topic describes the metrics and dimensions available for Databases.

Metrics are quantitative measurements of system behavior over time, while dimensions are descriptive attributes that can be used to categorize or filter metrics for deeper analysis.

Metrics

Metric	API equivalent	Description	Units
Available Disk Space	`available_disk`	Amount of storage space on a disk drive that isn’t currently in use	GB
Available Memory	`available_memory`	Amount of memory available to be allocated to new or existing processes	GB
CPU Usage	`cpu_usage`	Percentage of the available CPU capacity used by the Linode hosting the database. Reflects the load handled by individual processor cores while executing database operations and supporting processes.	%
Disk I/O Read	`read_iops`	Number of read operations a storage disk can perform per second	IOPS
Disk I/O Write	`write_iops`	Number of write operations a storage disk can perform per second	IOPS
Disk Space Usage	`disk_usage`	Percentage of a Linode's disk capacity used by database processes and stored data	%
Memory Usage	`memory_usage`	Percentage of a Linode's memory in use by the database engine	%

Dimensions

Dimension	API equivalent	Description
Node Type	`node_type`	The type of node in a cluster: `primary` or `secondary`

System alerts configuration

The following parameters have been preconfigured for Memory Usage, CPU Usage, and Disk Space Usage system alerts:

Parameter	Value
Aggregation function	Average
Threshold	Dedicated: 95% used Shared: 90% used
Polling interval	5 minutes
Evaluation period	5 minutes
Blip interval	3