EFK Stack (en)
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 graphic 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.
COD: DSK205
CATEGORIES: 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:
- Knowledge of DSK101 DSK102 DSK201 courses
- Good knowledge of Linux and basic knowledge of Kubernetes
- Good knowledge of YAML/JSON
- Know at least 1 programming language.
- Know how to explain what Elasticsearch is
- Know how to explain what Kibana is
- Know how to explain what Filebeat is
- Know how to implement a centralized log retention solution
- Knowing how to integrate log transport systems within Kubernetes
- Know how to consult graphical dashboards in Kibana and search the logs
- Know how to 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 – Classroom, On Site, Remote
PC and SW Requirement:
- Internet connection
- Web browser – Google Chrome
- Zoom
Language
Instructor: English
Workshops: English
Slides: English