DevOps Classroomnotes 18/Feb/2022


  • Logstash helps centralize event data such as logs, metrics or any other data in any format.
  • It can perform transformations before sending it to the stash of your choice.
  • Logstash is a server side component
  • For example. consider the log 08:09 18-02-2022 [com.qt.ecommerce.web] 200 Ok response for products /api/products and from this log which is a text record we want to create multiple fields and store it in elastic search
datetime => 18/02/2022 08:09 AM
component => com.qt.ecommerce.web
status code => 200 
message => Ok response for products
service endpoint => /api/products
  • The above transformation can help us with coming up with a chart on status codes for our application
  • In Logstash we can create a log pipeline with the help of plugins to acheive this


  • This is a platform of opensource light weight data shippers.
  • Logstash is a server side component, whereas beats has a role on the client side.
  • We install Beats on the servers from where we want to collect data (logs, metrics etc…)
  • Beats can complement the Logstash and if the transformations are not require they can forward the data directly to elastic search as well.


  • This is the visualization tool for the Elastic Stack
  • Here we can view the logs, Analyze the logs and create visualizations (Charts, tables etc) and create dashboards.


Lab Environment For understanding Elastic Search

  • Initially, we will explore the concepts and features of Elastic Search and to experiement with Elastic Search, We would use Kibana
  • Server Configuration for installation
    • Operating Sytem: Ubuntu 20.04
    • RAM => 4GB
    • Cpu Core => 2
  • I will be creating a virtual machine on the cloud (AWS/Azure)
  • Creating Virtual Machines on

  • Note:
  • Please ensure you shutdown your virtual machines after usage.
  • Installing Necessary softwares on Windows Refer Here
  • If you are windows 10/11 user, configure Windows Terminal Refer Here
  • Mac users:
    • Install Homebrew Refer Here
    • Install Git: brew install git
    • Install visual studio code brew install --cask visual-studio-code

Installing Elastic Search

  • Ensure you have a linux vm where you can login with above mentioned Configuration
  • Login into the linux machine and execute sudo apt update
  • Next Steps:
  • Completing installation and configuration.


  • HTTP Status Codes:
    • 1xx => information
    • 2xx => ok status
    • 3xx => redirection
    • 4xx => client side errors
    • 5xx => server side errors

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