Courses and certifications Open Source
Elastic Stack - Storing and Analyzing Logs
Price (without VAT)
The course is designed for anyone who wants to learn how to store large amounts of data using Elastic Stack. We learn how to store, search, and visualize logs using Kibana. Gradually we will go through the whole process from installing individual components (Beats, Logstash, Elasticsearch, Kibana) through their use to cluster management.
On real-life examples, we try different storage architectures that we collect from different sources, enriching them with additional information and storing them into Elasticsearch. The participant gets acquainted with the Elasticsearch repository so that it can efficiently manage and scalable a large amount of data. In Kibana, we learn how to visualize logs, create dashboards, and understand the data more deeply.
Audience
- Application developers
- System Administrators
- IT Professionals
Goals
Participants will learn:
- how to store different logs using Elastic Stack
- how to design logging architecture for different uses
- how to install and configure individual data processing components (Beats, Logstash, Elasticsearch, Kibana)
- Elasticsearch technology more in depth, learn how to use storage tools, how to manage, scale and monitor
- create dashboards and work with the Kibana tool
Course gaurantor
Petr's knowledge goes from solution architecture to development (JavaScript, PHP) through Elasticsearch, Oracle, PL/SQL to agile methodology and SCRUM. At the same time, Petr has been working with Elasticsearch technology for several years and has become one of our main instructors.
Outline
Technical requirements
- Computer with any OS (Linux, Windows, OS X)
- SSH client (eg Windows Winsshterm, Putty), permission to connect remotely to SSH (port 22)
- Web browser
Prerequisites
Basic knowledge of Elasticsearch, HTTP protocol, JSON format, general knowledge of database systems.
