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.

Learners will progressively construct multi-service pipelines, manage configurations using YAML, and monitor application behavior across interconnected containers. By the end of the course, participants will be able to construct scalable logging infrastructures, orchestrate services across environments, and evaluate and troubleshoot real-time application logs using Kibana. Whether you're an aspiring DevOps engineer or a backend developer, this course will help you apply theoretical concepts in real-world deployment scenarios such as define, configure, construct, implement, analyze, and evaluate.