This hands-on course equips learners with the practical skills to design, deploy, and debug end-to-end data processing workflows using the ELK (Elasticsearch, Logstash, Kibana) stack. Through guided case studies and real-world scenarios, participants will install and configure Elasticsearch, build and manage containerized applications using Docker and Docker Compose, and analyze service data with Logstash and Kibana.
Project on Logstash - Large-Scale Logging Mechanism
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
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Recently updated!
July 2025
Assessments
11 assignments
Taught in English
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There are 4 modules in this course
This module introduces learners to the foundational components of the Logstash project environment, guiding them through Elasticsearch installation, database setup, application configuration, and container orchestration essentials.
What's included
8 videos3 assignments
Learners explore the principles of container-based deployment using Docker and docker-compose, gaining practical insights into orchestrating multi-service applications and automating service definitions.
What's included
8 videos3 assignments
This module dissects a real-world use case to illustrate data flow within the ELK stack, including installation, configuration, and visualization of service logs using Logstash and Kibana.
What's included
6 videos3 assignments
Building on previous modules, this final module guides learners through a second case study involving advanced orchestration, entrypoint and volume management, and log inspection using Kibana for debugging.
What's included
2 videos2 assignments
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