Ceph

Ship your Ceph 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 Ceph 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 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-1.34.1.

wget https://dl.influxdata.com/telegraf/releases/telegraf-1.34.1_windows_amd64.zip -UseBasicParsing -OutFile telegraf-1.34.1_windows_amd64.zip 
Expand-Archive .\telegraf-1.34.1_windows_amd64.zip -DestinationPath 'C:\Program Files\InfluxData\telegraf'

or in Powershell 7 use:

# Download the Telegraf ZIP file
Invoke-WebRequest -Uri "https://dl.influxdata.com/telegraf/releases/telegraf-1.34.1_windows_amd64.zip" `
                -OutFile "telegraf-1.34.1_windows_amd64.zip" `
                -UseBasicParsing
 
# Extract the contents of the ZIP file
Expand-Archive -Path ".\telegraf-1.34.1_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 performance metrics from the MON, OSD, MDS and RGW nodes
# in a Ceph storage cluster.
[[inputs.ceph]]
  ## This is the recommended interval to poll. Too frequent and you
  ## will lose data points due to timeouts during rebalancing and recovery
  interval = '1m'
 
  ## All configuration values are optional, defaults are shown below
 
  ## location of ceph binary
  ceph_binary = "/usr/bin/ceph"
 
  ## directory in which to look for socket files
  socket_dir = "/var/run/ceph"
 
  ## prefix of MON and OSD socket files, used to determine socket type
  mon_prefix = "ceph-mon"
  osd_prefix = "ceph-osd"
  mds_prefix = "ceph-mds"
  rgw_prefix = "ceph-client"
 
  ## suffix used to identify socket files
  socket_suffix = "asok"
 
  ## Ceph user to authenticate as, ceph will search for the corresponding
  ## keyring e.g. client.admin.keyring in /etc/ceph, or the explicit path
  ## defined in the client section of ceph.conf for example:
  ##
  ##     [client.telegraf]
  ##         keyring = /etc/ceph/client.telegraf.keyring
  ##
  ## Consult the ceph documentation for more detail on keyring generation.
  ceph_user = "client.admin"
 
  ## Ceph configuration to use to locate the cluster
  ceph_config = "/etc/ceph/ceph.conf"
 
  ## Whether to gather statistics via the admin socket
  gather_admin_socket_stats = true
 
  ## Whether to gather statistics via ceph commands, requires ceph_user
  ## and ceph_config to be specified
  gather_cluster_stats = false

Read more about how to configure data scraping and configuration options for Ceph (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:

[[inputs.tail]]
  name_override = "nginxlog"
  files = ["<Nginx installation directory>/logs/access.log"]
  from_beginning = true
  pipe = false
  data_format = "grok"
  grok_patterns = ["%{COMBINED_LOG_FORMAT}"]
 
[[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"

Remember to replace <Nginx installation directory> with the directory where your Nginx is located.

Start Telegraf

From the location where Telegraf was installed (C:\Program Files\InfluxData\telegraf\telegraf-1.34.1) run the program providing the chosen configuration file as a parameter:

.\telegraf.exe --config telegraf.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 Ceph Overview

To efficiently monitor and analyze Ceph metrics in a distributed environment, it's imperative to have a dependable and proficient metrics management solution. Telegraf, an open-source metrics collection agent, is perfectly suited for this task, capable of gathering Ceph metrics from a multitude of sources, including operational Ceph clusters, databases, and other relevant applications.

Telegraf offers an extensive assortment of input plugins, enabling users to collect metrics from various sources such as CPU usage, memory consumption, network activity, and more. For storing and analyzing these harvested metrics, organizations can make use of Prometheus, an open-source monitoring and alerting system celebrated for its flexible querying language and robust graphical data visualization capabilities.

To ship Ceph 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 procedure involves setting up Telegraf to collect Ceph metrics, outputting them in the Prometheus format, arranging 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 transferred into Prometheus, further analysis and visualization can be conducted using Grafana. Grafana is an open-source platform well-known 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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