Introduction to the ELK Stack

Accelebrate's Introduction to ELK (Elasticsearch, Logstash, and Kibana) training course teaches DevOps teams how to use these powerful log-parsing technologies. Attendees learn how to set up an ELK...

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Course Code ACCEL-ELK-INTRO
Duration 3 days
Available Formats Classroom
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Accelebrate's Introduction to ELK (Elasticsearch, Logstash, and Kibana) training course teaches DevOps teams how to use these powerful log-parsing technologies. Attendees learn how to set up an ELK Stack to monitor log outputs, parse logs, and create reports for stakeholders in their organization.

Skills Gained

All students will:

  • Create an ELK cluster to read data from logs
  • Build and deploy fully functional ELK stack weblog parsers
  • Create visualizations and reports for senior members of the team on web status

Prerequisites

All students should be comfortable at the Linux command line and have familiarity with HTTP protocols including GET and POST.

Course Details

Software Requirements

  • Laptop or desktop with i7 quad-core processor or faster
  • 8GB RAM or higher
  • Internet connection for all attendees and the instructor

Outline

Introduction to the Elasticsearch

  • Philosophy and history behind Elasticsearch
  • Setting up a single Elasticsearch node with Docker
  • Communication with Node via HTTP and JSON requests
  • Word tokenization
  • HTTP communications
  • Queries, Updates, CRUD applications
  • Indexing and de-indexing data

Introduction to Logstash

  • Philosophy and history around Logstash
  • Creating Filebeats prospectors
  • Parsing weblogs with GROK filter plugins
  • Connecting Logstash and Elasticsearch
  • Plugin review (GEOIP)
  • Connecting Logstash and Kibana

Introduction to Kibana

  • Familiarization with the GUI interface
  • Creating effective reports
  • Common error reports
  • How to set up automatic reporting and real-time updating
  • Adding/removing data sets from reports

Deployment

  • Setting up an effective network cluster
  • Creating inputs effectively from weblogs and binlogs
  • Deploying and balancing loads on the ELK cluster

Conclusion

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