Google AI Platform Metrics via Telegraf
Ship your Google AI Platform Metrics via Telegraf to your Logit.io Stack
Configure Telegraf to ship Google AI Platform metrics to your Logit.io stacks via Logstash.
Install Integration
Set Credentials in GCP
@intro
-
Begin by heading over to the 'Project Selector' (opens in a new tab) and select the specific project from which you wish to send metrics.
- Progress to the 'Service Account Details' screen. Here, assign a distinct name to your service account and opt for 'Create and Continue'.
- In the 'Grant This Service Account Access to Project' screen, ensure the following roles: 'Compute Viewer', 'Monitoring Viewer', and 'Cloud Asset Viewer'.
- Upon completion of the above, click 'Done'.
- Now find and select your project in the 'Service Accounts for Project' list.
- Move to the 'KEYS' section.
- Navigate through Keys > Add Key > Create New Key, and specify 'JSON' as the key type.
- Lastly, click on 'Create', and make sure to save your new key.
Now add the environment variable for the key
On the machine run:
export GOOGLE_APPLICATION_CREDENTIALS=<your-gcp-key>
Install Telegraf
This integration allows you to configure a Telegraf agent to send your metrics, in multiple formats, to Logit.io.
Choose the installation method for your operating system:
When you paste the command below into Powershell it will download the Telegraf zip file.
Once that is complete, press Enter again and the zip file will be extracted into C:\Program Files\InfluxData\telegraf\telegraf-1.31.2.
wget https://dl.influxdata.com/telegraf/releases/telegraf-1.31.2_windows_amd64.zip -UseBasicParsing -OutFile telegraf-1.31.2_windows_amd64.zip
Expand-Archive .\telegraf-1.31.2_windows_amd64.zip -DestinationPath 'C:\Program Files\InfluxData\telegraf'Configure the Telegraf input plugin
First you need to set up the input plug-in to enable Telegraf to scrape the GCP data from your hosts. This can be accomplished by incorporating the following code into your configuration file:
# Gather timeseries from Google Cloud Platform v3 monitoring API
[[inputs.stackdriver]]
## GCP Project
project = "<your-project-name>"
## Include timeseries that start with the given metric type.
metric_type_prefix_include = [
"@metric_type",
]
## Most metrics are updated no more than once per minute; it is recommended
## to override the agent level interval with a value of 1m or greater.
interval = "1m"Read more about how to configure data scraping and configuration options for Stackdriver (opens in a new tab)
Configure the output plugin
Once you have generated the configuration file, you need to set up the output plug-in to allow Telegraf to transmit your data to Logit.io in Prometheus format. This can be accomplished by incorporating the following code into your configuration file:
[[outputs.http]]
url = "https://@metricsUsername:@metricsPassword@@metrics_id-vm.logit.io:@vmAgentPort/api/v1/write"
data_format = "prometheusremotewrite"
[outputs.http.headers]
Content-Type = "application/x-protobuf"
Content-Encoding = "snappy"Start Telegraf
From the location where Telegraf was installed (C:\Program Files\InfluxData\telegraf\telegraf-1.31.2) run the program
providing the chosen configuration file as a parameter:
.\telegraf.exe --config telegraf-demo.confOnce Telegraf is running you should see output similar to the following, which confirms the inputs,
output and basic configuration the application has been started with:
View your metrics
Data should now have been sent to your Stack.
View My DataIf you don't see take a look at How to diagnose no data in Stack below for how to diagnose common issues.
How to diagnose no data in Stack
If you don't see data appearing in your stack after following this integration, take a look at the troubleshooting guide for steps to diagnose and resolve the problem or contact our support team and we'll be happy to assist.
Telegraf Google AI Platform metrics Overview
Unlock the potential of streamlined data management as you seamlessly send data from Google AI Platform to Logit.io, facilitating robust analysis of your AI workloads. Our guide on data transmission lays the foundation for efficient monitoring and optimization of your AI projects, ensuring that you have the insights you need at your fingertips to maintain operational excellence. To fortify your data management further, delve into Google Identity Access Metrics. Explore the intricacies of access control and monitoring, bolstering your data security measures. In addition, take a deep dive into our Google Firestore metrics integration to allow you to measure and manage your Firestore data with precision. These integrations ensure a smooth experience with Logit.io's service for GCP logging (opens in a new tab).