This is the code repository for Learning Elastic Stack 6.0 [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and the visualization of data from medium to massive datasets. The newly released Elastic Stack 6 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This course will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data-processing applications. After a quick overview of the newly introduced features in Elastic Stack 6, you'll learn how to set up the stack by installing the tools, and explore their basic configurations. Then we demonstrates the creation of custom plugins using Kibana. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. After completing this course, you'll have a solid foundational knowledge of basic Elastic Stack functionalities. You'll also have a good understanding of the role each component in the stack plays to solve different data processing problems.
- Familiarize yourself with the different components of the Elastic Stack
- Get to know the new functionalities introduced in Elastic Stack 6.
- Effectively build your data pipeline to get terabytes or petabytes of data into ElasticSearch and Logstash for searching and logging.
- Use Kibana to visualize data and tell data stories in real-time
- Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack.
- Take your Elastic application to an on-premise or cloud-based production
To fully benefit from the coverage included in this course, you will need:
This course is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of the Elastic Stack for distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with the Elastic Stack is required.
This course has the following software requirements:
Elasticsearch
Logstash
Kibana