In this course, you'll learn how to set up various components to build scalable ELK Stacks for analytics and monitoring.
Learning Objectives
Working with the ELK Stack
- start the course
- describe data storage methodologies and NoSQL
- describe Elasticsearch, Logstash, and Kibana and list the components of ELK
- recall the capabilities of ELK
Understanding ELK Architecture
- install and configure Elasticsearch on Windows
- describe the architectural concepts of Elasticsearch clusters and nodes
Working with Indexes and Shards
- describe concept of indexes and sharding
- install and work with multinode Elasticsearch, including master and data nodes
- configure Elasticsearch clusters for storage reliability
Managing Elasticsearch Availability
- manage Elasticsearch plugins for better cluster management and feature sets
- define the concept of scalability design and capacity planning in Elasticsearch
- work with monitoring options and guidelines for cluster monitoring
- describe concepts of structured and unstructured data management in Elasticsearch
Practice: ELK Single-node Configuration
- configure single-node Elasticsearch and Kibana