Google Filestore Metrics via Telegraf

Google Filestore represents a comprehensive suite of services offered within Google Cloud, specifically designed for the creation, deployment, and management of high-performance file storage solutions. It enables secure and efficient storage and access to files in a cloud-native environment, catering to diverse application workloads.

• Begin by heading over to the 'Project Selector' 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>

This integration allows you to configure a Telegraf agent to send your metrics, in multiple formats, to Logit.io.

Telegraf is a flexible server agent equipped with plug-in support, useful for sending metrics and events from data sources like web servers, APIs, application logs, and cloud services.

To ship your metrics to Logit.io, we will integrate the relevant input and outputs.http plug-in into your Telegraf configuration file.

Choose the install for your operating system below to get started:

Windows

wget https://dl.influxdata.com/telegraf/releases/telegraf-1.19.2_windows_amd64.zip

Download and extract to: C:\Program Files\Logitio\telegraf\

Configuration file: C:\Program Files\Logitio\telegraf\

MacOS

brew install telegraf

Configuration file x86_64 Intel: /usr/local/etc/telegraf.conf Configuration file ARM (Apple Silicon): /opt/homebrew/etc/telegraf.conf

Ubuntu/Debian

wget -q https://repos.influxdata.com/influxdata-archive_compat.key
echo '393e8779c89ac8d958f81f942f9ad7fb82a25e133faddaf92e15b16e6ac9ce4c influxdata-archive_compat.key' | sha256sum -c && cat influxdata-archive_compat.key | gpg --dearmor | sudo tee /etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg > /dev/null
echo 'deb [signed-by=/etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg] https://repos.influxdata.com/debian stable main' | sudo tee /etc/apt/sources.list.d/influxdata.list

sudo apt-get update
sudo apt-get install telegraf

Configuration file: /etc/telegraf/telegraf.conf

RedHat and CentOS

cat <<EOF | sudo tee /etc/yum.repos.d/influxdata.repo
[influxdata]
name = InfluxData Repository - Stable
baseurl = https://repos.influxdata.com/stable/\$basearch/main
enabled = 1
gpgcheck = 1
gpgkey = https://repos.influxdata.com/influxdata-archive_compat.key
EOF

sudo yum install telegraf

Configuration file: /etc/telegraf/telegraf.conf

SLES & openSUSE

zypper ar -f obs://devel:languages:go/ go
zypper in telegraf

Configuration file: /etc/telegraf/telegraf.conf

FreeBSD/PC-BSD

sudo pkg install telegraf

Configuration file: /etc/telegraf/telegraf.conf

Read more about how to configure data scraping and configuration options for Telegraf

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 = [
    "file.googleapis.com",
  ]

  ## 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

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://<your-metrics-username>:<your-metrics-password>@<your-metrics-stack-id>-vm.logit.io:0/api/v1/write"
  data_format = "prometheusremotewrite"

  [outputs.http.headers]
    Content-Type = "application/x-protobuf"
    Content-Encoding = "snappy"

Windows

telegraf.exe --service start

MacOS

telegraf --config telegraf.conf

Linux

sudo service telegraf start

for systemd installations

systemctl start telegraf

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.

If you don't see data appearing in your Stack after following the steps, visit the Help Centre guide for steps to diagnose no data appearing in your Stack or Chat to support now.

Telegraf, developed by InfluxData, is a versatile open-source server agent that collects metrics and data from a variety of sources, including cloud storage solutions. Among its integrations is support for Google Cloud Filestore, a managed file storage service for applications that require a filesystem interface and a shared filesystem for data. Google Cloud Filestore provides high-performance file storage for Google Cloud users, enabling them to seamlessly integrate file storage with their Google Cloud services and applications.

By integrating Telegraf with Google Cloud Filestore, organizations can monitor the performance, capacity, and health of their Filestore instances in real-time. This monitoring capability is critical for administrators and developers who rely on Google Filestore for critical application data, as it ensures optimal performance, identifies potential capacity issues, and aids in the efficient management of file storage resources. Key metrics that can be tracked include I/O operations, throughput, latency, and disk space usage, providing insights necessary for maintaining high availability and performance of file storage services.

However, the volume and complexity of data generated from monitoring file storage systems like Google Cloud Filestore can present significant challenges in terms of analysis and management. Logit.io offers a robust solution to these challenges by providing an advanced analytics platform that simplifies the ingestion, visualization, and analysis of metrics from Telegraf and Google Cloud Filestore.

With Logit.io, businesses can enhance their file storage monitoring and management practices, ensuring that their Google Cloud Filestore instances are operating efficiently and effectively supporting their applications. The platform's comprehensive analytics and visualization tools support informed decision-making, enabling organizations to optimize their file storage configurations, address issues promptly, and ensure the reliability and scalability of their storage infrastructure.

For those using Telegraf in conjunction with Google Cloud Filestore and seeking to advance their storage monitoring and analytics capabilities, Logit.io provides the necessary tools and expertise. Our platform facilitates the effective management of storage metrics, allowing organizations to derive actionable insights and maintain a robust, high-performance storage environment.

To further enhance data-driven decision-making, the integration with Google Contact Center AI metrics and Google Workflows metrics are equally vital. Google Contact Center AI Insights metrics provide essential data on customer interactions, allowing organizations to enhance their customer service and satisfaction. Simultaneously, Google Workflow metrics enable companies to monitor and optimize their workflow processes. These integrations are an integral part of Logit.io's service for GCP logging.