Overview:

Elasticsearch is a real-time, distributed storage, search, and analytics engine. It can be used for many purposes, but one context where it excels is indexing streams of semi-structured data, such as logs or decoded network packets.

Elasticsearch is used by software development and operations teams worldwide to provide observability for complex information systems.

Elastic stack is Elastic Search + Kibana + Beats + (optionally) Logstash.

In this workshop the participants will learn how to utilize the Elastic Stack for collection, analysis and visualization of logs and metrics in cloud-native information systems.

Training Duration:

2 days (16 academic hours)

Target Audience:

Software development and operation professionals interested in modern observability and log analysis.

Prerequisites:

Basic knowledge of Linux command-line and shell scripting. Basic understanding of web application development, preferably in Python. Experience with Docker is helpful but not required.

Required Equipment:

Each participant will need a PC with a browser and an internet connection.

Lab environments will be provided by http://strigo.io