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Project on Logstash - Large-Scale Logging Mechanism

EDUCBA via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

7 hours 28 minutes
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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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.

Syllabus

Setting Up the Project Environment

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.

Docker and Application Orchestration

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.

Deep Dive into Case Study 1 and ELK Stack

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.

Case Study 2 and Debugging

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.