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Apache Cassandra Metrics via Telegraf

Ship your Apache Cassandra Metrics via Telegraf to your Logit.io Stack

Configure Telegraf to ship Apache Cassandra metrics to your Logit.io stacks via Logstash.

Send Your DataMetricsTelegrafApache Cassandra Metrics via Telegraf Guide

Follow this step by step guide to get 'logs' from your system to Logit.io:

Step 1 - Install Telegraf

This integration allows you to configure a Telegraf agent to send your metrics, in multiple formats, to Logit.io.

Telegraf is a flexible server agent equipped with plug-in support, useful for sending metrics and events from data sources like web servers, APIs, application logs, and cloud services.

To ship your metrics to Logit.io, we will integrate the relevant input and outputs.http plug-in into your Telegraf configuration file.

Choose the install for your operating system below to get started:

Windows

wget https://dl.influxdata.com/telegraf/releases/telegraf-1.19.2_windows_amd64.zip

Download and extract to: C:\Program Files\Logitio\telegraf\

Configuration file: C:\Program Files\Logitio\telegraf\

MacOS

brew install telegraf

Configuration file x86_64 Intel: /usr/local/etc/telegraf.conf Configuration file ARM (Apple Silicon): /opt/homebrew/etc/telegraf.conf

Ubuntu/Debian

wget -q https://repos.influxdata.com/influxdata-archive_compat.key
echo '393e8779c89ac8d958f81f942f9ad7fb82a25e133faddaf92e15b16e6ac9ce4c influxdata-archive_compat.key' | sha256sum -c && cat influxdata-archive_compat.key | gpg --dearmor | sudo tee /etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg > /dev/null
echo 'deb [signed-by=/etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg] https://repos.influxdata.com/debian stable main' | sudo tee /etc/apt/sources.list.d/influxdata.list

sudo apt-get update
sudo apt-get install telegraf

Configuration file: /etc/telegraf/telegraf.conf

RedHat and CentOS

cat <<EOF | sudo tee /etc/yum.repos.d/influxdata.repo
[influxdata]
name = InfluxData Repository - Stable
baseurl = https://repos.influxdata.com/stable/\$basearch/main
enabled = 1
gpgcheck = 1
gpgkey = https://repos.influxdata.com/influxdata-archive_compat.key
EOF

sudo yum install telegraf

Configuration file: /etc/telegraf/telegraf.conf

SLES & openSUSE

zypper ar -f obs://devel:languages:go/ go
zypper in telegraf

Configuration file: /etc/telegraf/telegraf.conf

FreeBSD/PC-BSD

sudo pkg install telegraf

Configuration file: /etc/telegraf/telegraf.conf

Read more about how to configure data scraping and configuration options for Telegraf

Step 2 - 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 Cassandra metrics through Jolokia
[[inputs.cassandra]]
  context = "/jolokia/read"
  ## List of cassandra servers exposing jolokia read service
  servers = ["myuser:[email protected]:8778","10.10.10.2:8778",":8778"]
  ## List of metrics collected on above servers
  ## Each metric consists of a jmx path.
  ## This will collect all heap memory usage metrics from the jvm and
  ## ReadLatency metrics for all keyspaces and tables.
  ## "type=Table" in the query works with Cassandra3.0. Older versions might
  ## need to use "type=ColumnFamily"
  metrics  = [
    "/java.lang:type=Memory/HeapMemoryUsage",
    "/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency"
  ]
Read more about how to configure data scraping and configuration options for Apache Cassandra

Step 3 - 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://<your-metrics-username>:<your-metrics-password>@<your-metrics-stack-id>-vm.logit.io:0/api/v1/write"
  data_format = "prometheusremotewrite"

  [outputs.http.headers]
    Content-Type = "application/x-protobuf"
    Content-Encoding = "snappy"

Step 4 - Start Telegraf

Windows

telegraf.exe --service start

MacOS

telegraf --config telegraf.conf

Linux

sudo service telegraf start

for systemd installations

systemctl start telegraf

Step 5 - View your metrics

Data should now have been sent to your Stack.

View my data

If you don't see metrics take a look at How to diagnose no data in Stack below for how to diagnose common issues.

Step 6 - 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.

Step 7 - Telegraf Apache Cassandra Overview

In order to efficiently monitor and analyze Apache Cassandra metrics in a distributed environment, it's essential to utilize a trustworthy and effective metrics management solution. Telegraf, an open-source metrics collection agent, fits this role perfectly, capable of extracting Apache Cassandra metrics from a multitude of sources, including operational Cassandra clusters, databases, and other relevant applications.

Telegraf provides an extensive range of input plugins, allowing users to gather metrics from diverse sources such as CPU usage, memory consumption, network activity, and more. For storing and querying these collected metrics, organizations can turn to Prometheus, an open-source monitoring and alerting system noted for its flexible querying language and powerful graphical data visualization capabilities.

To ship Apache Cassandra 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 configuring Telegraf to accumulate Apache Cassandra metrics, rendering them in the Prometheus format, setting up 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 incorporated 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 construct 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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