• /
  • EnglishEspañolFrançais日本語한국어Português
  • Se connecterDémarrer

Google Cloud Bigtable monitoring integration

New Relic integrations with the Google Cloud Platform (GCP) include one that reports Google Cloud Bigtable data to New Relic. This document explains how to activate the GCP Bigtable integration and describes the data it reports.

Features

Cloud Bigtable is Google Cloud's fully managed, wide-column NoSQL database service. New Relic Bigtable integration collects CPU, storage, replication, and request metrics at both cluster and table scope.

Activate integration

To enable the integration, follow standard procedures to connect your GCP service to New Relic:

Polling frequency

New Relic integrations query your GCP services according to a polling interval that varies by integration. The polling frequency for Google Cloud Bigtable is 5 minutes. The resolution is 1 data point every minute.

Workload Identity Federation

Find and use data

After you enable the integration, your Bigtable resources appear as entities in the New Relic entity explorer. To see dashboards and manage services, go to one.newrelic.com > All capabilities > Infrastructure > GCP.

All Bigtable metrics available in GCP Cloud Monitoring are collected as dimensional metrics in the Metric event type. Additional metrics beyond this table are collected automatically. See Google's Bigtable metrics documentation for the complete list.

Entities

Metric data

Key metrics — Cluster

Metric name

Unit

Description

gcp.bigtable.cluster.cpu_load

Percent

Average CPU load across nodes in the cluster.

gcp.bigtable.cluster.cpu_load_hottest_node

Percent

CPU load on the hottest node in the cluster.

gcp.bigtable.cluster.disk_load

Percent

Fraction of HDD disk capacity in use by the cluster.

gcp.bigtable.cluster.storage_utilization

Percent

Fraction of storage capacity in use by the cluster.

gcp.bigtable.cluster.node_count

Count

Number of nodes in the cluster.

Key metrics — Table

Metric name

Unit

Description

gcp.bigtable.server.request_count

Count

Number of server-side requests against the table, faceted by method.

gcp.bigtable.server.error_count

Count

Number of server-side errors returned for requests against the table.

gcp.bigtable.server.sent_bytes_count

Bytes

Uncompressed response bytes returned by the table.

gcp.bigtable.server.received_bytes_count

Bytes

Uncompressed request bytes received by the table.

gcp.bigtable.replication.latency

Milliseconds

Replication latency observed for the table between clusters.

gcp.bigtable.table.storageUtilization

Percent

Fraction of storage capacity in use by the table.

For the complete list of Bigtable metrics, see Google's Bigtable metrics documentation.

Service account or user account

Find and use data

To find your integration data, go to one.newrelic.com > All capabilities > Infrastructure > GCP and select the integration.

Data is attached to the following event types:

Entity

Event Type

Provider

Cluster

GcpBigtableClusterSample

GcpBigtableCluster

Table

GcpBigtableTableSample

GcpBigtableTable

For more on how to use your data, see Understand and use integration data.

Metric data

This integration collects GCP Bigtable data for Cluster and Table.

Bigtable Cluster data

Metric

Unit

Description

cluster.CpuLoad

Count

CPU load of a cluster.

cluster.CpuLoadHottestNode

Count

CPU load of the busiest node in a cluster.

cluster.DiskLoad

Count

Utilization of HDD disks in a cluster.

cluster.Node

Count

Number of nodes in a cluster.

cluster.StorageUtilization

Count

Storage used as a fraction of total storage capacity.

disk.BytesUsed

Bytes

Amount of compressed data for tables stored in a cluster.

disk.StorageCapacity

Bytes

Capacity of compressed data for tables that can be stored in a cluster.

Bigtable Table data

Metric

Unit

Description

replication.Latency

Milliseconds

Distribution of replication request latencies for a table. Includes only requests that have been received by the destination cluster.

replication.MaxDelay

Seconds

Upper bound for replication delay between clusters of a table. Indicates the time frame during which latency information may not be accurate.

server.Error

Count

Number of server requests for a table that failed with an error.

server.Latencies

Milliseconds

Distribution of server request latencies for a table, measured when calls reach Cloud Bigtable.

server.ModifiedRows

Count

Number of rows modified by server requests for a table.

server.MultiClusterFailovers

Count

Number of failovers during multi-cluster requests.

server.ReceivedBytes

Bytes

Number of uncompressed bytes of request data received by servers for a table.

server.Request

Count

Number of server requests for a table.

server.ReturnedRows

Count

Number of rows returned by server requests for a table.

server.SentBytes

Bytes

Number of uncompressed bytes of response data sent by servers for a table.

table.BytesUsed

Bytes

Amount of compressed data stored in a table.

Droits d'auteur © 2026 New Relic Inc.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.