Description
Elasticsearch 8, Logstash, Kibana, Filebeat:Elastic Stack Course. The Elastic Stack course teaches participants how to set up and manage complete logging and visibility systems using the Elastic toolkit, including Elasticsearch 8, Logstash, Kibana, and Filebeat. The course covers installing and configuring the stack in various environments such as Ubuntu, Linux, Windows, and Docker. Participants will learn hands-on how to collect, process, and analyze logs from a variety of data sources including Apache and Nginx web servers, Python and Java applications, .NET applications, and Docker containers. More advanced topics such as Kubernetes and Kafka integration are also included to manage complex environments. The ultimate goal is to gain practical skills for centralized log data management, creating powerful visualizations in Kayaba, and effectively monitoring the health and performance of the entire IT infrastructure. Through multiple topics and hands-on projects, this training provides a thorough understanding of the Elastic Stack architecture and the ability to build custom monitoring dashboards to achieve comprehensive visibility.
What you will learn
- What is Elastic Stack? | Elastic Stack Architecture Description
- How to install Elastic Stack on Ubuntu, Linux, Windows and Docker.
- Introduction to Elastic Stack dashboards.
- Visualizing Apache2 logs using Elastic Stack.
- Monitoring Nginx logs with Elastic Stack and Filebeat.
- Monitoring Python application logs with Elastic Stack.
- Monitoring Docker containers using Elastic Stack.
- Kubernetes logging and monitoring using ELK Stack and Filebeat.
- Kafka logging and observability with Elastic Stack.
- How to monitor Java applications using Elastic Observability.
- How to monitor .NET application logs using Elastic Stack (ELK).
- Interview questions and answers about Elastic Stack.
This course is suitable for people who:
- Software Developers and QA (Quality Assurance) Engineers.
- DevOps Engineers, SRE Engineers (Site Reliability Engineer), Platform Engineers and Cloud Engineers.
Course details
- Publisher: Udemy
- Instructor: DevOps Hint
- Training level: Beginner to advanced
- Training duration: 3 hours and 44 minutes
- Number of lessons: 9
Course syllabus in 2025/7
Elasticsearch 8 Logstash Kibana Filebeat:Elastic Stack Course Prerequisites
- Basic Experience on Linux
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.1 GB