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.
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July 2025
11 项作业
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该课程共有4个模块
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.
涵盖的内容
8个视频3个作业
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.
涵盖的内容
8个视频3个作业
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.
涵盖的内容
6个视频3个作业
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.
涵盖的内容
2个视频2个作业
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- 状态:免费试用
- 状态:免费试用
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学生评论
14 条评论
- 5 stars
78.57%
- 4 stars
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已于 Aug 18, 2025审阅
The YAML configurations were tricky at first, but the course walked me through clearly. Now I
已于 Aug 14, 2025审阅
The course structure made it easy to follow. YAML configs, multi-container orchestration, and Kibana dashboards—everything was explained with clarity.
已于 Aug 10, 2025审阅
Very practical course! The case studies helped me understand how logging works in actual
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