Google Firestore Metrics

Ship your Google Firestore 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 Firestore 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 Firestore Platform metrics Overview

Integrating Telegraf with Google Firestore allows developers and operations teams to monitor the performance and health of their Firestore databases in real-time. This is vital for applications that rely on Firestore for data storage and retrieval, as it ensures optimal performance, data integrity, and availability. By collecting metrics such as read and write operations, query performance, and resource utilization, teams can gain insights into their Firestore usage, identify potential bottlenecks, and optimize database operations.

However, the detailed and voluminous nature of the data collected can make analysis and management challenging. Logit.io offers a solution to these challenges, providing a robust platform that simplifies the ingestion, transformation, visualization, and analysis of metrics and logs from Telegraf and Google Firestore.

With Logit.io, organizations can enhance their monitoring and analytics capabilities, ensuring that their Firestore databases are performing optimally and supporting their applications effectively. The platform's advanced features help in quickly diagnosing and resolving issues, improving operational efficiency, and ensuring a seamless user experience.

For those integrating Telegraf with Google Firestore and looking to enhance their data analysis and monitoring practices, Logit.io provides the necessary tools and support. Our platform offers a centralized solution for managing the complexity of Firestore metrics, helping you to derive actionable insights from your data. Effortlessly transport your data from Google Firestore to Logit.io and revolutionize your log management and analysis processes. With our straightforward integration guide, you can centralize your log data, making monitoring, troubleshooting, and optimizing your applications a breeze. Whether you're tracking user interactions, monitoring app performance, or investigating security incidents, Logit.io equips you with the necessary tools and insights. In addition, if you're eager to take your data management and analytics to the next level, explore the world of Google Apigee Metrics metrics, which provides in-depth insights into API performance, enabling data-driven decisions and enhancing user experiences. Experience how these integrations seamlessly improve Logit.io's GCP logging (opens in a new tab).

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