EFK stack
The course will address the more in-depth concepts for the Log recording solution through the Elasticsearch stack, then continue with the theoretical and practical aspects that will help the student to integrate the logging function by indexing and searching the logs transmitted to Elasticsearch. Furthermore, the course includes exercises in a laboratory environment where the student will see firsthand the use of the Kibana graphical dashboard by analyzing the read and indexed logs. The course will lead the developer or system administrator to a more centralized approach to keeping, searching and analyzing logs.
CODE: DSK206
Category : Kubernetes
Teaching methodology
The course includes educational laboratories in which each student will be able to work in order to complete training exercises that will provide practical experience in using the instrument, for each of the topics covered during the course.
Prerequisites
At the end of the course, students will be able to:
- Explain what Elasticsearch is
- Explain what Kibana is
- Explain what Filebeat is
- Implement a centralised log storage solution
- Integrate log transport systems within Kubernetes
- Consult graphical dashboards in Kibana and search logs
- Configure the EFK stack in the form of Kubernetes objects
Educational program
- Install and configure an Elasticsearch cluster.
- Install and configure Kibana.
- Use of filebeat and meticbeat for log and metic ingestion.
- Monitor the EFK cluster.
- Securing the cluster, encrypting the transport network.
Duration – 1 day
Delivery – in Classroom, On Site, Remote
PC and SW requirements:
- Internet connection
- Web browser, Google Chrome
- Zoom
Lingua
- Instructor: English
- Workshops: English
- Slides: English
The price of this one-day course is € 800+ VAT.
