Apache Mesos

Apache Mesos

Ship your Apache Mesos 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 Apache Mesos metrics to your Logit.io stacks.

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"

The default configuration file is location at:
C:\Program Files\InfluxData\telegraf\telegraf.conf

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 telegraf.conf from the previous step.

telegraf.conf
# Telegraf plugin for gathering metrics from N Mesos masters
[[inputs.mesos]]
  ## Timeout, in ms.
  timeout = 100
 
  ## A list of Mesos masters.
  masters = ["http://localhost:5050"]
 
  ## Master metrics groups to be collected, by default, all enabled.
  master_collections = [
    "resources",
    "master",
    "system",
    "agents",
    "frameworks",
    "framework_offers",
    "tasks",
    "messages",
    "evqueue",
    "registrar",
    "allocator",
  ]
 
  ## A list of Mesos slaves, default is []
  # slaves = []
 
  ## Slave metrics groups to be collected, by default, all enabled.
  # slave_collections = [
  #   "resources",
  #   "agent",
  #   "system",
  #   "executors",
  #   "tasks",
  #   "messages",
  # ]
 
  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false
 
### System metrics
[[inputs.disk]]
[[inputs.net]]
[[inputs.mem]]
[[inputs.system]]
[[inputs.cpu]]
  percpu = false
  totalcpu = true
  collect_cpu_time = true
  report_active = true
 
### Output
[[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"

Read more about how to configure data scraping and configuration options for Apache Mesos (opens in a new tab)

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

Launch Grafana to View Your Data

Launch Grafana

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 Apache Mesos Overview

For effective monitoring and analysis of Apache Mesos metrics across multiple systems, it's crucial to have a robust and efficient metrics management solution. Telegraf, an open-source server agent specifically designed for collecting and reporting metrics, fits this role perfectly. It can gather Apache Mesos metrics from numerous sources such as operational Apache Mesos instances, databases, and other relevant applications.

Telegraf boasts an extensive range of input plugins, enabling users to collect metrics from various sources like CPU usage, memory utilization, network traffic, and more. These metrics are vital for understanding Apache Mesos performance. To store and examine these harvested metrics, organizations can leverage Prometheus, an open-source monitoring and alerting toolkit known for its flexible querying language and impressive data visualization capabilities.

To relay Apache Mesos 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 process involves setting up Telegraf to collect Apache Mesos 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 carried out using Grafana. Grafana, a leading open-source platform recognized for its monitoring and observability features, is fully compatible with Prometheus. It allows users to create dynamic, interactive dashboards for a deep-dive into the metrics data, providing a comprehensive understanding of performance trends and potential issues within the Apache Mesos 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.