Project on Logstash - Large-Scale Logging Mechanism

About this course

Build practical skills in designing, deploying, and debugging Logstash pipelines through guided, project-based case studies. You’ll begin by installing Elasticsearch, configuring project files, establishing a development database, and setting up the services required for a microservice environment. You’ll then use Docker, Docker Compose, and YAML configurations to build and orchestrate multi-container applications, manage entry points and volumes, and validate communication between services. As you progress, you’ll examine application data flow and configure the ELK stack—Elasticsearch, Logstash, and Kibana—for centralized logging. Two realistic case studies will help you connect configuration and deployment concepts with hands-on log analysis and troubleshooting. You’ll use Kibana and Docker configurations to inspect service logs, evaluate application behavior, and debug issues in containerized environments. Designed for aspiring DevOps engineers and backend developers, this course gives you focused experience with Logstash pipelines, Docker orchestration, Elasticsearch, and Kibana. By the end, you’ll be able to configure project environments, deploy multi-service applications, implement centralized logging, analyze data pipelines, and troubleshoot service behavior. Its end-to-end case-study approach makes each concept immediately applicable to modern containerized application workflows.

Course objectives

• install and configure the ELK stack
• create containerized applications using Docker
• develop multi-service pipelines