Google Firestore Metrics via Telegraf
Ship your Google Firestore Metrics via Telegraf to your Logit.io Stack
Configure Telegraf to ship Google Firestore metrics to your Logit.io stacks via Logstash.
Follow this step by step guide to get 'logs' from your system to Logit.io:
Step 1 - Set credentials in GCP
Google Firestore is an integral suite of services offered within Google Cloud. It is purpose-built for the creation, deployment, and management of scalable and flexible NoSQL databases, enabling secure and efficient storage and retrieval of data in a cloud-native ecosystem.
- 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>
Step 2 - Install Telegraf
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
Step 3 - 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 = [
"firestore.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"
Step 4 - 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://<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"
Step 5 - Start Telegraf
Windows
telegraf.exe --service start
MacOS
telegraf --config telegraf.conf
Linux
sudo service telegraf start
for systemd installations
systemctl start telegraf
Step 6 - View your metrics
Data should now have been sent to your Stack.
If you don't see metrics take a look at How to diagnose no data in Stack below for how to diagnose common issues.
Step 7 - How to diagnose no data in Stack
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.
Step 8 - 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.