Google Apigee Metrics via Telegraf

Ship your Google Apigee Metrics via Telegraf to your Logit.io Stack

Configure Telegraf to ship Google Apigee 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 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 Apigee metrics Overview

Telegraf, InfluxData's premier open-source server agent, is engineered for capturing metrics and data from a myriad of sources, including APIs and gateway platforms. Google Apigee is designed to help organizations design, secure, deploy, monitor, and scale APIs, playing a crucial role in digital transformation initiatives by enabling seamless connectivity between applications, data, and devices across cloud and on-premises environments.

The integration of Telegraf with Google Apigee empowers organizations to monitor their API performance, traffic, and health metrics in real time. This capability is vital for API developers and operations teams to ensure their APIs are performing optimally, remain secure, and provide the scalability necessary to handle varying loads. Metrics such as API call latencies, error rates, traffic volumes, and response times are crucial for diagnosing and resolving issues, optimizing API performance, and enhancing the overall user experience.

However, the vast amount of data generated from monitoring APIs can be challenging to manage, analyze, and visualize effectively. Logit.io offers a comprehensive solution to these challenges by providing a sophisticated platform that simplifies the processing and analysis of metrics from Telegraf and Google Apigee.

With Logit.io, businesses can enhance their API monitoring and analytics capabilities, enabling them to quickly identify and address performance bottlenecks, improve security postures, and ensure compliance with usage policies and regulations. The platform's advanced analytics and visualization tools support proactive management of API ecosystems, helping organizations to maintain high-quality, reliable API services that meet the demands of their users and applications.

For those utilizing Telegraf in conjunction with Google Apigee and looking to advance their API monitoring and analytics strategies, Logit.io provides the tools and support necessary. Whether you're looking to optimize performance, strengthen security, or gain a deeper understanding of your API usage, Logit.io's robust search and analytics tools have you covered. With this integration, you can easily uncover hidden trends and issues within your API traffic data, helping you make more informed decisions and take your API management to the next level. For effective data management and sharing, explore the capabilities of sending Google Firestore metrics next. To delve into the transformative world of Google Contact Center AI insights and metrics for exceptional customer service operations, check out our integration. Logit.io's GCP logging (opens in a new tab) seamlessly integrates with various platforms.

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