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Working with the ELK Stack

Course Summary

The Working with the ELK Stack training course is designed to demonstrate the skills and knowledge needed to use Elasticsearch to use the ELK (Elasticsearch, Logstash, Kibana) stack for log ingestion and analysis.

The course begins by examining how to install, configure, and run Elasticsearch and Kibana. Next, it discusses querying Elasticsearch using Kibana and reviewing the configuration of data indexing and analysis. Finally the course explores various major Elasticsearch Application Program Interfaces (APIs) and concludes with enhancing those pipelines with data parsing.

Prerequisites: The course assumes some familiarity with Python (limited), Extensible Markup Language (XML), JavaScript Object Notation (JSON), and command line tools.

Purpose
 Learn how to use the ELK stack.
Audience
 Architects, developers, and administrators needing to use the ELK stack for log ingestion and analysis
Role
Software Developer
Skill Level
Intermediate
Style
Learning Spikes - Workshops
Duration
3 Days
Related Technologies
Search | Elk

 

Productivity Objectives
  • Describe the advantages of using Elasticsearch
  • Describe at a high-level the architecture and key elements used within Elasticsearch
  • Perform searches and analysis using Kibana
  • Describe how indexing and search is performed by Elasticsearch
  • Configure indexing and search parameters
  • Query Elasticsearch using the HyperText Transfer Protocol (HTTP) APIs
  • Describe various possible logging ingestion solutions and options
  • Experiment with data using Logstash
  • Construct data pipelines in Logstash and query log data from Kibana

What You'll Learn:

In the Working with the ELK Stack training course, you'll learn:
  • Overview
    • Overview of Elasticsearch with Kibana
    • Elasticsearch, Lucene, and Splunk
    • Install and run Elasticsearch and Kibana
    • Load and map data into Elasticsearch
    • Query data using Kibana
  • Intermediate Elasticsearch
    • Explore how Elasticsearch Works
    • Indexes and Analysis Configuration
    • Utilize the Elasticsearch APIs with Python
  • Logstash
    • Log Ingest Architectures
    • Install and configure Logstash
    • Build simple Logstash pipelines
    • Add data parsing and enhancements
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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By filling out this form and clicking submit, you acknowledge our privacy policy.