Riak Metrics

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

Configure Telegraf to ship Riak 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.

# Read metrics one or many Riak servers
[[inputs.riak]]
  # Specify a list of one or more riak http servers
  servers = ["http://localhost:8098"]

Read more about how to configure data scraping and configuration options for Riak (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 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 Riak Overview

To efficiently monitor and analyze Riak metrics in a distributed environment, it's essential to implement a reliable and efficient metrics management solution. Telegraf, an open-source metrics collection agent, is an excellent tool for this purpose, able to gather Riak metrics from a variety of sources, including active Riak nodes, databases, and other relevant applications.

Telegraf boasts an extensive assortment of input plugins, allowing users to collect metrics from diverse sources such as CPU usage, memory consumption, network activity, and more. For storing and interrogating these gathered metrics, organizations can utilize Prometheus, an open-source monitoring and alerting system renowned for its flexible querying language and robust graphical data visualization features.

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

Once the metrics are successfully transferred into Prometheus, further analysis and visualization can be conducted using Grafana. Grafana is an open-source platform celebrated for its monitoring and observability capabilities, and is fully compatible with Prometheus. It allows users to create dynamic, interactive dashboards for a deeper understanding of the metrics data, providing a 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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