Phusion Passenger Metrics
Ship your Phusion Passenger Metrics via Telegraf to your Logit.io Stack
Configure Telegraf to ship Phusion Passenger metrics to your Logit.io stacks via Logstash.
Install Integration
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
The configuration file below is pre-configured to scrape the system metrics from your hosts, add the following code to the configuration file /etc/telegraf/telegraf.conf
from the previous step.
# Read metrics of passenger using passenger-status
[[inputs.passenger]]
## Path of passenger-status.
##
## Plugin gather metric via parsing XML output of passenger-status
## More information about the tool:
## https://www.phusionpassenger.com/library/admin/apache/overall_status_report.html
##
## If no path is specified, then the plugin simply execute passenger-status
## hopefully it can be found in your PATH
command = "passenger-status -v --show=xml"
Read more about how to configure data scraping and configuration options for Phusion Passenger (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:
View your metrics
Data should now have been sent to your Stack.
View My DataIf 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 Phusion Passenger Overview
For effective monitoring and analysis of Phusion metrics in a distributed environment, a solid and efficient metrics management solution is crucial. Telegraf, an open-source server agent for collecting and reporting metrics, is ideally suited for this role. It can gather Phusion metrics from a multitude of sources, including operational Phusion instances, databases, and other relevant applications.
Telegraf offers a wide range of input plugins, enabling users to collect various metrics such as CPU usage, memory utilization, network traffic, and more. These are all key for understanding Phusion performance. To store and scrutinize these harvested metrics, organizations can employ Prometheus, an open-source monitoring and alerting toolkit renowned for its flexible querying language and impressive data visualization capabilities.
Transmitting Phusion metrics from Telegraf to Prometheus involves configuring Telegraf to output metrics in the Prometheus format, and then setting up Prometheus to scrape these metrics from the Telegraf server. This process involves setting up Telegraf to collect Phusion metrics, outputting them in the Prometheus format, configuring Prometheus to retrieve these metrics from the Telegraf server, and then visually interpreting the data using Prometheus's dynamic querying and graphical visualization tools.
Once the metrics are successfully integrated into Prometheus, further analysis and visualization can be conducted using Grafana. Grafana is a leading open-source platform known for its monitoring and observability capabilities, and is fully compatible with Prometheus. It enables users to create dynamic, interactive dashboards for a deep dive into the metrics data, offering a comprehensive understanding of performance trends and potential issues within the Phusion system.
If you need any further assistance with shipping your log data to Logit.io we're here to help you get started. Feel free to get in contact with our support team by sending us a message via live chat & we'll be happy to assist.