Beanstalkd

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

Follow the steps below to send your observability data to Logit.io

Metrics

Configure Telegraf to ship Beanstalkd 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.

# Collects Beanstalkd server and tubes stats
[[inputs.beanstalkd]]
  ## Server to collect data from
  server = "localhost:11300"
 
  ## List of tubes to gather stats about.
  ## If no tubes specified then data gathered for each tube on server reported by list-tubes command
  tubes = ["notifications"]

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

For effective monitoring and analysis of Beanstalkd metrics across a distributed environment, a robust and efficient metrics management solution is essential. Telegraf, being an open-source server agent for collecting and reporting metrics, fits this role well. It can gather Beanstalkd metrics from numerous sources, including operational Beanstalkd instances, databases, and other relevant applications.

Telegraf's rich set of input plugins allows users to collect diverse metrics such as CPU usage, memory utilization, network traffic, and more, crucial for understanding Beanstalkd performance. Organizations can use Prometheus, a renowned open-source monitoring and alerting toolkit, to store and analyze these metrics, known for its flexible querying language and impressive data visualization capabilities.

To transport Beanstalkd metrics from Telegraf to Prometheus, organizations need to configure Telegraf to output metrics in the Prometheus format and then set up Prometheus to scrape these metrics from the Telegraf server. This involves setting up Telegraf to collect Beanstalkd 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 performed using Grafana. Grafana, a leading open-source platform known for its monitoring and observability features, is fully compatible with Prometheus. It allows users to create dynamic, interactive dashboards for a deeper dive into the metrics data, providing a comprehensive understanding of performance trends and potential issues within the Beanstalkd 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.

bCache Bond