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Google Compute Engine monitoring integration

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

Features

Compute Engine is Google Cloud's core infrastructure-as-a-service for virtual machines and attached disks. New Relic Compute Engine integration collects CPU, memory, disk, network, and uptime metrics for each VM instance and its persistent disks.

Activate integration

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

Workload Identity Federation

Find and use data

After you enable the integration, your Compute Engine 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 Compute Engine 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 Compute Engine metrics documentation for the complete list.

Entities

Metric data

Key metrics — VM Instance

Metric name

Unit

Description

gcp.compute.instance.cpu.utilization

Percent

Fraction of allocated CPU currently in use by the VM instance.

gcp.compute.instance.cpu.usage_time

Seconds

CPU-seconds consumed by the VM instance.

gcp.compute.instance.memory.balloon.ram_used

Bytes

Memory currently in use by the VM instance.

gcp.compute.instance.disk.read_bytes_count

Bytes

Disk bytes read by the VM instance.

gcp.compute.instance.disk.write_bytes_count

Bytes

Disk bytes written by the VM instance.

gcp.compute.instance.network.received_bytes_count

Bytes

Network bytes received by the VM instance.

gcp.compute.instance.network.sent_bytes_count

Bytes

Network bytes sent by the VM instance.

gcp.compute.instance.uptime

Seconds

Uptime of the VM instance since it last started.

Key metrics — VM Disk

Metric name

Unit

Description

gcp.compute.instance.disk.read_ops_count

Count

Number of disk read operations on the persistent disk.

gcp.compute.instance.disk.write_ops_count

Count

Number of disk write operations on the persistent disk.

gcp.compute.instance.disk.throttled_read_ops_count

Count

Read operations throttled by disk quota.

gcp.compute.instance.disk.throttled_write_ops_count

Count

Write operations throttled by disk quota.

gcp.compute.instance.disk.max_read_bytes_count

Bytes

Maximum disk read bytes observed on the persistent disk.

gcp.compute.instance.disk.max_write_bytes_count

Bytes

Maximum disk write bytes observed on the persistent disk.

Key metrics — Interconnect

Metric name

Unit

Description

gcp.interconnect.network.interconnect.capacity

Bytes/s

Total network capacity of the Interconnect circuit.

gcp.interconnect.network.interconnect.received_bytes_count

Bytes

Ingress bytes received over the Interconnect circuit.

gcp.interconnect.network.interconnect.sent_bytes_count

Bytes

Egress bytes sent over the Interconnect circuit.

gcp.interconnect.network.interconnect.received_packets_count

Count

Ingress packets received over the Interconnect circuit.

gcp.interconnect.network.interconnect.sent_packets_count

Count

Egress packets sent over the Interconnect circuit.

gcp.interconnect.network.interconnect.link.operational_status

Count

Operational status of Interconnect physical links.

Key metrics — Interconnect Attachment

Metric name

Unit

Description

gcp.interconnect.network.attachment.capacity

Bytes/s

Total network capacity of the VLAN attachment.

gcp.interconnect.network.attachment.received_bytes_count

Bytes

Ingress bytes received on the VLAN attachment.

gcp.interconnect.network.attachment.sent_bytes_count

Bytes

Egress bytes sent on the VLAN attachment.

gcp.interconnect.network.attachment.received_packets_count

Count

Ingress packets received on the VLAN attachment.

gcp.interconnect.network.attachment.sent_packets_count

Count

Egress packets sent on the VLAN attachment.

For the complete list of Compute Engine and Interconnect metrics, see Google's Compute Engine metrics documentation.

Key metrics — Service Attachment

Metric name

Unit

Description

gcp.compute.private_service_connect.producer.closed_connections_count

Count

Count of TCP/UDP connections closed over a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.connected_consumer_forwarding_rules

Count

Number of Consumer Forwarding Rules connected to a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.dropped_received_packets_count

Count

Count of received packets dropped by a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.dropped_sent_packets_count

Count

Count of sent packets dropped by a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.nat_ip_address_capacity

Count

Number of total IP addresses of a PSC Service Attachment resource ID. (Value -1 means the number is larger than the max value of INT64.).

gcp.compute.private_service_connect.producer.new_connections_count

Count

Count of new TCP/UDP connections created over a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.open_connections

Count

Number of TCP/UDP connections currently open on a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.received_bytes_count

Bytes

Count of bytes received (PSC -> Service) over a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.received_packets_count

Count

Count of packets received (PSC -> Service) over a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.sent_bytes_count

Bytes

Count of bytes sent (Service -> PSC) over a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.sent_packets_count

Count

Count of packets sent (Service -> PSC) over a PSC Service Attachment resource ID.

gcp.compute.private_service_connect.producer.used_nat_ip_addresses

Count

IP usage of the monitored service attachment.

Key metrics — Private Service Connect Endpoint

Metric name

Unit

Description

gcp.compute.private_service_connect.consumer.closed_connections_count

Count

Count of TCP/UDP connections closed over a PSC connection ID.

gcp.compute.private_service_connect.consumer.dropped_received_packets_count

Count

Count of received packets dropped by a PSC connection ID.

gcp.compute.private_service_connect.consumer.dropped_sent_packets_count

Count

Count of sent packets dropped by a PSC connection ID.

gcp.compute.private_service_connect.consumer.new_connections_count

Count

Count of new TCP/UDP connections created over a PSC connection ID.

gcp.compute.private_service_connect.consumer.open_connections

Count

Number of TCP/UDP connections currently open on a PSC connection ID.

gcp.compute.private_service_connect.consumer.received_bytes_count

Bytes

Count of bytes received (PSC -> Clients) over a PSC connection ID.

gcp.compute.private_service_connect.consumer.received_packets_count

Count

Count of packets received (PSC -> Clients) over a PSC connection ID.

gcp.compute.private_service_connect.consumer.sent_bytes_count

Bytes

Count of bytes sent (Clients -> PSC) over a PSC connection ID.

gcp.compute.private_service_connect.consumer.sent_packets_count

Count

Count of packets sent (Clients -> PSC) over a PSC connection ID.

For the complete list of Private Service Connect metrics, see Google's monitoring documentation for Private Service Connect connections.

Metrics-only resource types

New Relic also collects metrics for the following Compute Engine resource types. These resource types don't create entities in the entity explorer, so query their metrics directly on the Metric event type.

Service account or user account

Find and use data

After activating the integration and waiting a few minutes (based on the polling frequency), data will appear in the New Relic UI. To find and use your data, including links to your and alert settings, go to one.newrelic.com > All capabilities > Infrastructure > GCP > (select an integration).

Metric data

Metric data that New Relic receives from your GCP Compute Engine integration include:

GcpVirtualMachineSample

Name

Description

firewall.DroppedBytes

Delta count of incoming bytes dropped by the firewall.

firewall.DroppedPackets

Delta count of incoming packets dropped by the firewall.

instance.cpu.ReservedCores

Total number of cores reserved on the host of the instance.

GcpVirtualMachineDiskSample

Name

Description

instance.disk.ThrottledReadBytes

Delta count of bytes in throttled read operations.

instance.disk.ThrottledReadOps

Delta count of throttled read operations.

instance.disk.ThrottledWriteBytes

Delta count of bytes in throttled write operations.

instance.disk.ThrottledWriteOps

Delta count of throttled write operations.

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