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.
Learning Objectives
Data Dimension in Elasticsearch
- start the course
- describe the problems and data types that ELK Stack can handle
- define Logstash and its role in ELK Stack
Logstash Configuration and Data Ingestion
- 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
Mapping and Filtering in Logstash
- 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
Logstash Plugins
- 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
Practice: Logstash Data Ingestion
- prepare Logstash configuration to ingest data in Elasticsearch