Google AI Platform

Google AI Platform

Get insights into Google AI Platform service metrics collected from the Google Operations API to ensure health of your cloud infrastructure.

Extension

Product information
Release notes

Overview

This Dynatrace extension leverages data collected from the Google Operations API to constantly monitor health and performance of Google AI Platform services. This extension combines all relevant data into pre-configured dashboards and provides alerting and event tracking.

This is intended for users, who want to:

enrich their monitoring data with metrics and logs from Google Operations API

This enables you to:

View and analyze 18 metrics that are specific to Google AI Platform, like Accelerator memory utilization, Accelerator utilization, CPU utilization, and more.
Build custom dashboards for your cloud infrastructure.
Analyze Google AI Platform logs.
Set custom alerts that trigger remediation workflows.

Google AI Platform metric and log ingestion requires advanced GCP integration.

Compatibility requirements

Dynatrace GCP integration version 1.0.0+. To enable metric and log ingestion, see Dynatrace Documentation.
Dynatrace version 1.230+

Details

This extension package contains:

Configuration for Google AI Platform metric ingest based on your selected feature set (see full list of feature sets and metrics)

To provide correlation and causation analysis all ingested metrics and logs are analyzed by the Dynatrace Davis AI engine, which consumes DDUs.

Get started

To add this extension to your environment:

Follow the instructions detailed in Dynatrace Documentation. (Ignore the “Add to environment” button below.)
Ensure that you have GCP integration running in your environment and that Google AI Platform service is configured.

Following GCP integration and Google AI Platform configuration:

The first data points will be ingested by Dynatrace Davis within ~5 minutes.
Explore Google AI Platform metrics in Data Explorer and create custom charts.
Set custom events for alerting

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Extension content

Content typeNumber of items included

screen layout

2

generic relationship

2

screen actions

2

metric metadata

18

generic type

3

Feature sets

Below is a complete list of the feature sets provided in this version. To ensure a good fit for your needs, individual feature sets can be activated and deactivated by your administrator during configuration.

Feature setsNumber of metrics included

Metric name	Metric key	Description	Unit
Accelerator memory utilization	cloud.gcp.ml_googleapis_com.training.accelerator.memory.utilization	-	Percent
Accelerator utilization	cloud.gcp.ml_googleapis_com.training.accelerator.utilization	-	Percent
CPU utilization	cloud.gcp.ml_googleapis_com.training.cpu.utilization	-	Percent
Memory utilization	cloud.gcp.ml_googleapis_com.training.memory.utilization	-	Percent
Network bytes received	cloud.gcp.ml_googleapis_com.training.network.received_bytes_count	-	Byte
Network bytes sent	cloud.gcp.ml_googleapis_com.training.network.sent_bytes_count	-	Byte
Error count	cloud.gcp.ml_googleapis_com.prediction.error_count	-	Count
Latency	cloud.gcp.ml_googleapis_com.prediction.latencies	-	MicroSecond
Accelerator duty cycle	cloud.gcp.ml_googleapis_com.prediction.online.accelerator.duty_cycle	-	Percent
Accelerator memory usage	cloud.gcp.ml_googleapis_com.prediction.online.accelerator.memory.bytes_used	-	Byte
CPU usage	cloud.gcp.ml_googleapis_com.prediction.online.cpu.utilization	-	Percent
Memory usage	cloud.gcp.ml_googleapis_com.prediction.online.memory.bytes_used	-	Byte
Network bytes received	cloud.gcp.ml_googleapis_com.prediction.online.network.bytes_received.count	-	Byte
Network bytes sent	cloud.gcp.ml_googleapis_com.prediction.online.network.bytes_sent.count	-	Byte
Replica count	cloud.gcp.ml_googleapis_com.prediction.online.replicas	-	Count
Replica target	cloud.gcp.ml_googleapis_com.prediction.online.target_replicas	-	Count
Prediction count	cloud.gcp.ml_googleapis_com.prediction.prediction_count	-	Count
Response count	cloud.gcp.ml_googleapis_com.prediction.response_count	-	Count

Full version history

To have more information on how to install the downloaded package, please follow the instructions on this page.

ReleaseDate

Full version history

Version 1.1.0

Updated

Added cloudml_job & cloudml_model_version entity

Full version history

Version 1.0.4

Updated

Feature sets & metrics section in HUB Product Information page

Full version history

Version 1.0.3

Fixed

Empty feature sets in extension description

Full version history

Version 1.0.2

Added

Release notes to published extension
Auto publishing extensions to Hub

Full version history

Support for GCP overview

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