Google Cloud Logging Metrics via Telegraf

Google Cloud Logging Metrics via Telegraf

Ship your Google Cloud Logging Metrics via Telegraf to your Logit.io Stack

Configure Telegraf to ship Google Cloud Logging metrics to your Logit.io stacks via Logstash.

Install Integration

Please click on the Install Integration button to configure your stack for this source.

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.conf

Once 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: Powershell Telegraf information

View your metrics

Data should now have been sent to your Stack.

View My Data

If you don't see metrics 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 Cloud Logging metrics Overview

By leveraging the Telegraf plugin for Google Cloud Logging, organizations can automate the collection of logs from various Google Cloud services, facilitating real-time monitoring and operational efficiency. This integration is crucial for gaining insights into application performance, troubleshooting issues, and ensuring compliance with security and audit requirements.

However, a significant challenge often lies in the volume and complexity of log data generated, which can be overwhelming to analyze and act upon. Logit.io addresses this challenge by offering a sophisticated solution that simplifies the management and analysis of log data from Telegraf and Google Cloud Logging.

With Logit.io, users gain access to advanced features such as real-time alerts, customizable dashboards, and comprehensive reporting tools. This empowers organizations to effectively monitor their cloud infrastructure, quickly identify and resolve issues, and derive actionable insights from their log data, enhancing operational efficiency and security posture.

For those integrating Telegraf with Google Cloud Logging and looking to elevate their log management and analysis capabilities, Logit.io stands ready to assist. Sending data to Logit.io has never been easier with Telegraf, a versatile data collection agent. By seamlessly integrating Telegraf with Google Cloud Logging (opens in a new tab) metrics, you can effortlessly ship your valuable data to Logit.io's platform for advanced monitoring and analysis. This powerful combination empowers you to unlock the full potential of your Google Compute Engine and Google Cloud VPN Metrics. With just a few clicks, you can learn how to set up Google Compute Engine instances and harness the capabilities of Google Cloud VPN Metrics to enhance your cloud infrastructure's performance. Maximize your data management capabilities with Telegraf and Logit.io, while harnessing the potential of Google's cloud services to stay ahead in the ever-evolving tech landscape.