Project on Logstash - Large-Scale Logging Mechanism

Instructor: EDUCBA

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4 modules

Gain insight into a topic and learn the fundamentals.

14 reviews

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

14 reviews

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

11 assignments

Taught in English

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There are 4 modules in this course

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.

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.

What's included

8 videos3 assignments

8 videosTotal 74 minutes

Introduction to Project7 minutes
Microservice9 minutes
Download Elasticsearch10 minutes
Project Explorer11 minutes
Applications Properties11 minutes
Create Database10 minutes
Case Study and Docker-Compose8 minutes
DB Deployment in YML9 minutes

3 assignmentsTotal 50 minutes

Project Initiation and Microservice Setup10 minutes
Configuration and Database Setup10 minutes
Setting Up the Project Environment 30 minutes

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.

What's included

8 videos3 assignments

8 videosTotal 40 minutes

Java Application Declaration in YML5 minutes
Docker-Compose Commands3 minutes
Triggered Docker Build9 minutes
Case Study 2 Overview5 minutes
Declaring Entry points6 minutes
Creaking Volumes Manually5 minutes
Deploying WordPress Container3 minutes
Shown Running WordPress Website3 minutes

3 assignmentsTotal 50 minutes

YML Declarations and Docker Operations10 minutes
Entry Points and Container Management10 minutes
Docker and Application Orchestration30 minutes

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.

What's included

6 videos3 assignments

6 videosTotal 43 minutes

Case Study 1 Overview6 minutes
Flow of Data in Case Study 17 minutes
Installing ELK Stack12 minutes
Installing Zeskind10 minutes
Showing Logstash in Action6 minutes
Service Logs in Kibana1 minute

3 assignmentsTotal 50 minutes

Understanding Case Study 1 and Data Flow10 minutes
Installing and Using the ELK Stack10 minutes
Deep Dive into Case Study 1 and ELK Stack30 minutes

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.