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ONTAP performance counter mapping

headroom_aggregate

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Display message service time variance and message inter-arrival time variance for aggregates in a node.

Classic Object: resource_headroom_aggr

Table Row IDs

ID Format Aggregation Type Comment

{instance_name}:{instance_uuid}

(not applicable)

This represents the construction of the row ID field, which is a single unique string that identifies a row.

Properties

This section describes the mapping between classic (ONTAPI) string counter names and REST property names.

Classic String Counter REST Property Description

node_name

node.name

System node name

instance_name

name

This is the name of the headroom_aggregate row.

instance_uuid

uuid

This is the unique identifier for the headroom_aggregate row.

Counters

This section describes the mapping between classic (ONTAPI) numeric counter names and REST counter names.

Classic Numeric Counter REST Counter Description

service_time

service_time

Disk aggregate service time variance statistics.

interarrival_time

inter_arrival_time

Disk aggregate inter-arrival time variance statistics.

current_utilization

current_utilization

This is the storage aggregate average utilization of all the data disks in the
aggregate.

current_utilization_total

current_utilization_denominator

This is the denominator value used to compute current utilization.

current_ops

current_ops

Total number of I/Os processed by the aggregate per second.

current_latency

current_latency

This is the storage aggregate average latency per message at the disk level.

optimal_point_utilization

optimal_point.utilization

The utilization component of the optimal point of the latency/utilization curve.

optimal_point_latency

optimal_point.latency

The latency component of the optimal point of the latency/utilization curve.

optimal_point_ops

optimal_point.ops

The ops component of the optimal point derived from the latency/utilzation
curve.

optimal_point_confidence_factor

optimal_point.confidence_factor

The confidence factor for the optimal point value based on the observed resource
latency and utilization.

optimal_point_samples

optimal_point.samples

The base counter for optimal_point_utilization, optimal_point_latency,
optimal_point_confidence_factor, and optimal_point_ops. This is the number of
one-minute samples since bootup.

ewma_hourly

ewma.hourly

Hourly exponential weighted moving average.

ewm_std_dev_hourly

ewm_std_dev.hourly

Hourly exponential weighted moving standard deviation based on one-minute
average values.

ewma_daily

ewma.daily

Daily exponential weighted moving average.

ewm_std_dev_daily

ewm_std_dev.daily

Daily exponential weighted moving standard deviation based on one-minute average
values.

ewma_weekly

ewma.weekly

Weekly exponential weighted moving average.

ewm_std_dev_weekly

ewm_std_dev.weekly

Weekly exponential weighted moving standard deviation based on one-minute
average values.

ewma_monthly

ewma.monthly

Monthly exponential weighted moving average.

ewm_std_dev_monthly

ewm_std_dev.monthly

Monthly exponential weighted moving standard deviation based on one-minute
average values.

current_driver_qtime

current_driver_queue_time

This is the disk driver average queue time for the storage aggregate.

observations_skipped

observations_skipped

The number of observations not processed.

Property/Counter Content Changes

This section describes any output value differences between the classic (ONTAPI) string counter and the respective REST property. It also describes array label name changes between classic array counters and respective REST array counters.

REST Counter Description

uuid

This counter now returns only the storage aggregate UUID instead of
a combination of the aggregate name and aggregate UUID.

Table Aliases

This section describes aliases for aggregated tables.