Logstash for Data Ingestion in Elasticsearch


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
In this course, you'll learn about Logstash and various other data ingestion techniques and how to use filtering and plugins to ingest data in Elasticsearch.

Target Audience
IT architects and developers

Prerequisites
None

Expected Duration (hours)
1.4

Lesson Objectives

Logstash for Data Ingestion in Elasticsearch

  • start the course
  • describe the problems and data types that ELK Stack can handle
  • define Logstash and its role in ELK Stack
  • install and configure Logstash for data ingestion
  • prepare and configure Logstash to ingest data in Elasticsearch from files
  • prepare and configure Logstash to ingest data in Elasticsearch from databases
  • describe Logstash plugin management for input and output
  • recall mapping and filtering concepts of data ingestion using Logstash
  • demonstrate how mapping works with Logstash in Elasticsearch
  • demonstrate how data filtering is used in Logstash to get productive data
  • work with monitoring and fault detection using Logstash and Beats
  • specify how to enrich data using grok and the lookup options
  • demonstrate how to enrich data using grok and the lookup options
  • prepare Logstash configuration to ingest data in Elasticsearch
  • Course Number:
    os_doek_a02_it_enus

    Expertise Level
    Intermediate