Google Cloud API Metrics

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

Follow the steps below to send your observability data to Logit.io

Metrics

Configure Telegraf to ship Google Cloud API 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 AI Platform metrics Overview

Telegraf, developed by InfluxData, is an open-source server agent designed for collecting metrics and data from a vast array of services and systems. Google APIs allow developers to interact with Google services, including Compute Engine, Cloud Storage, BigQuery, and many others, enabling applications to leverage Google's powerful cloud capabilities.

Integrating Telegraf with Google APIs enables organizations to monitor their usage and performance of Google services in real time. This monitoring is essential for developers and cloud architects to ensure that their applications are performing optimally, to manage resource utilization efficiently, and to quickly identify and resolve any issues with the services they are using. Key metrics that can be monitored include API request counts, latency, error rates, and quota usage, providing insights necessary for maintaining high availability and performance of cloud-based applications.

However, the diversity and volume of data generated by Google APIs can pose significant challenges in terms of analysis and management. Logit.io offers a comprehensive solution to these challenges by providing an advanced analytics platform that simplifies the ingestion, visualization, and analysis of metrics from Telegraf and Google APIs.

With Logit.io, organizations can enhance their monitoring and analytics capabilities for applications that rely on Google APIs, enabling them to optimize resource consumption, improve application performance, and ensure a seamless user experience. The platform's advanced features support proactive management of cloud resources, helping users to navigate the complexities of cloud services and maintain robust, scalable applications.

For those leveraging Telegraf in conjunction with Google APIs and seeking to advance their cloud service monitoring and analytics, Logit.io provides the essential tools and support. For a deeper dive into Google Cloud's capabilities, discover how to optimize your virtual machine management with Google VM Manager Metrics, harnessing key data points and insights for enhanced infrastructure performance. Additionally, our integration on Google Pub Sub Metrics will equip you with the knowledge needed to fine-tune your Pub Sub setup, ensuring your message queuing and event-driven computing are operating at peak efficiency. These integrations complement Logit.io's GCP logging (opens in a new tab) cohesively. Efficient monitoring is paramount for optimizing the performance and reliability of your applications and services on Google Cloud Platform (GCP). If you're looking to centralize and gain insights from the metrics data generated by various Google Cloud APIs, integrating with Logit.io can be a game-changer. Logit.io provides a powerful platform for log and metric management and analysis.

However, before diving into the integration, it's essential to have a solid grasp of how to effectively monitor your GCP environment. Our Google Cloud Monitoring offers a comprehensive solution for collecting and visualizing metrics data from various GCP services and resources. Additionally, for comprehensive visibility into both your metrics and logs, consider the capabilities of Logit.io's GCP logging (opens in a new tab).

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