Disque Metrics

Ship your Disque Metrics via Telegraf to your Logit.io Stack

Configure Telegraf to ship Disque 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.disque]]  
  ## An array of URI to gather stats about. Specify an ip or hostname
  ## with optional port and password.
  ## ie disque://localhost, disque://10.10.3.33:18832, 10.0.0.1:10000, etc.
  ## If no servers are specified, then localhost is used as the host.
  servers = ["localhost"]

Read more about how to configure data scraping and configuration options for Disque (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 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 the steps, visit the Help Centre guide for steps to diagnose no data appearing in your Stack or Chat to support now.

Telegraf Disque metrics Overview

To efficiently monitor and analyze Disque metrics in a distributed environment, it's crucial to adopt a reliable and effective metrics management solution. Telegraf, an open-source metrics collection agent, fits this role perfectly, capable of extracting Disque metrics from various sources, including operational Disque instances, databases, and other related applications.

Telegraf boasts a diverse range of input plugins, allowing users to collect metrics from numerous sources such as CPU usage, memory consumption, network activity, and more. To store and analyze these harvested metrics, organizations can leverage Prometheus, an open-source monitoring and alerting system famous for its flexible querying language and potent graphical data visualization features.

To ship Disque metrics from Telegraf to Prometheus, organizations need to configure Telegraf to output metrics in the Prometheus format, and then use Prometheus to scrape these metrics from the Telegraf server. This process involves setting up Telegraf to collect Disque metrics, outputting them in the Prometheus format, configuring Prometheus to pull these metrics from the Telegraf server, and then visually interpreting the data using Prometheus's dynamic querying and graphical visualization capabilities.

Once the metrics are successfully collected into Prometheus, further analysis and visualization can be conducted using Grafana. Grafana is an open-source platform renowned for its monitoring and observability capabilities, and is fully compatible with Prometheus. It enables users to create dynamic and interactive dashboards for a deeper understanding of the metrics data, offering a more comprehensive view of performance trends 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.

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