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Project on Logstash - Large-Scale Logging Mechanism
Coursera MOOC / Non-credit 0

Project on Logstash - Large-Scale Logging Mechanism

About this course

Designing, Deploying, and Debugging Logstash Pipelines: A Project-Based Approach is a hands-on course that teaches you how to build, deploy, and troubleshoot end-to-end data processing workflows using the ELK (Elasticsearch, Logstash, Kibana) stack. Through guided case studies, you will install and configure Elasticsearch, set up project environments, and build containerized applications using Docker and Docker Compose. As you progress, you will create multi-service pipelines, manage YAML configurations, and orchestrate containerized services while analyzing application data flow. You will also configure the ELK stack for centralized logging, visualize service logs with Kibana, and debug application behavior in realistic deployment scenarios. This course is designed for aspiring DevOps engineers and backend developers who want practical experience with Logstash pipelines, Docker orchestration, Elasticsearch, and Kibana. By the end of the course, you will be able to configure project environments, deploy multi-container applications, implement centralized logging solutions, analyze application data pipelines, and evaluate service logs to troubleshoot real-world systems. With its project-based structure and real-world case studies, this course emphasizes practical implementation, helping you develop skills that can be applied to modern containerized application environments.

B

75/100

CourseAsk score

What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

  • build and deploy end-to-end data processing workflows
  • manage YAML configurations
  • configure centralized logging solutions
  • analyze application data pipelines
  • visualize service logs with Kibana
  • troubleshoot application behavior

Course objectives

  • install and configure the ELK stack
  • create containerized applications using Docker
  • develop multi-service pipelines
DevOps #data processing #backend development #docker #yaml #devops #docker-compose #elasticsearch #kibana #logstash #elk stack #application debugging #centralized logging
$49.00

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