TeamCity Server Metrics

Ship your TeamCity Server Metrics via Telegraf to your Logit.io Stack

Configure Telegraf to ship TeamCity Server metrics to your Logit.io stacks via Logstash.

Install Integration

Please click on the Install Integration button to configure your stack for this source.

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.

[[inputs.prometheus]]
 
urls = ["https://<teamcity_server_url>/app/metrics"]
 
## optional basic auth credentials
username = “<your-username>”
password = “<your-password>”

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 TeamCity Server Overview

For the successful monitoring and analysis of TeamCity metrics in a distributed environment, it's crucial to utilize a reliable and efficient metrics management solution. Telegraf, an open-source server agent renowned for its metrics collection capabilities, is the perfect tool for harvesting TeamCity metrics from a variety of sources, which can include active TeamCity servers, databases, and other software applications.

Telegraf is equipped with a wide selection of input plugins, facilitating users to gather metrics from multiple sources such as CPU usage, memory utilization, network activity, and more. To store and interrogate these collected metrics, organizations can use Prometheus, an open-source monitoring and alerting platform that boasts a flexible querying language and graphic data visualization.

In order to forward TeamCity metrics from Telegraf to Prometheus, organizations need to configure Telegraf to output metrics in the Prometheus format and then employ Prometheus to scrape these metrics from the Telegraf server. This process involves setting up Telegraf to amass TeamCity metrics and output them in the Prometheus format, orchestrating Prometheus to fetch these metrics from the Telegraf server, and subsequently analyzing and visualizing the data using Prometheus's flexible querying capabilities.

Once the metrics are successfully imported into Prometheus, they can be further analyzed and visualized using Grafana. Grafana, an open-source software for monitoring and observability, is seamlessly compatible with Prometheus. It allows users to craft dynamic, interactive dashboards to delve into metrics data, providing a deeper understanding of performance patterns and potential issues.

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.

System Metrics Tengine Metrics