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Elastic Stack Workshop Training

Classroom Enterprise Training

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This course is for you if you are looking to learn a complete suite of products to cater to the requirement of getting big data, saving and searching it and then visualising it. This course teaches the aforementioned to you in an integrated manner with a family of products from the same organization - Logstash for pulling the data, Elasticsearch for saving and search it and Kibana for effectively creating the visualisations.

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Key Features
  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

PDP BG 1
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What is Elastic Stack Workshop training about?

This hands-on, instructor-led in-classroom or virtual classroom course will guide you through the installation and configuration of Elasticsearch, Beats, Logstash, and Kibana. Both delivery methods are instructor-led training course, incorporating real-world examples of logging, analytics, and search. Upon finishing this course, you will receive a Certificate of Completion.

What are the objectives of Elastic Stack Workshop training?

The instructor-led in-classroom or virtual classroom workshop covers real-world data sets and instructors work with the participants to ingest, search, and visualize them. This includes an Elasticsearch overview, deployment of Metricbeat, Filebeat and Logstash configuration, creation of dashboards in Kibana, how to process logs and recommended architecture for designing a system to scale.

Available Training Modes

Classroom Training

 

1 Days
PDP BG 2

Who is Elastic Stack Workshop training for?

  • Anyone who wants to add Elastic Stack Workshop skills to their profile
  • Teams getting started on Elastic Stack Workshop projects
  • What are the prerequisites for Elastic Stack Workshop training?

    • No prior knowledge of the Elastic Stack is required
    • Comfort using the terminal or command line is recommended

    Course Outline

    • 1. Introduction
      • Elastic Stack Overview
      • Metrics use case
      • Elasticsearch
      • Lab
    • 2. Logstash
      • What and Why
      • Configuration
      • Inputs, Filters, and Outputs
      • Field References
      • Conditionals
      • Lab
    • 3. Kibana
      • What and Why
      • Settings
      • Time Picker, Search, and Filters
      • Kibana Discover, Visualization, and Dashboard Interfaces
      • Console
      • Lab
    • 4. Conclusion
      • Deployment Architectures
      • Summary
      • Conclusion

    Who is the instructor for this training?

    The trainer for this Elastic Stack Workshop has extensive experience in this domain, including years of experience training & mentoring professionals.

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