What you'll get
  • 3+ Hours
  • 1 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Learn Logstash and Docker Compose integration
  • Deploy microservices using Docker Compose
  • Set up and manage the ELK Stack (Elasticsearch, Logstash, Kibana)
  • Analyze, monitor, and debug application logs
  • Apply skills through real-world case studies

Content

Courses No. of Hours Certificates Details
Project on Logstash: Large-Scale Logging Mechanism3h 12m✔View Curriculum

Description

This course provides hands-on training in building, deploying, and managing modern microservices-based applications using Logstash, Docker Compose, and the ELK stack. Learners gain practical experience in log collection, processing, monitoring, and troubleshooting while managing multi-container environments.

The program blends conceptual understanding with real-world case studies, enabling participants to design efficient data pipelines, deploy scalable applications, and debug systems effectively in production-like environments.

Goals

  • Build strong foundations in Logstash and Docker Compose

  • Enable efficient deployment and monitoring of microservices

  • Develop skills for log analysis, debugging, and system optimization

  • Prepare learners for real-world DevOps and logging workflows.

Objectives

By the end of this course, learners will be able to:

  • Install, configure, and optimize Logstash

  • Design and manage Logstash pipelines for large-scale data processing

  • Deploy and manage applications with multiple containers using Docker Compose

  • Set up and integrate the ELK stack for log monitoring

  • Analyze service logs in Kibana and troubleshoot applications

  • Implement microservices architectures using Docker Compose.

Highlights

  • End-to-end ELK stack setup and integration

  • Real-world case studies and hands-on exercises

  • Microservices deployment with Docker Compose

  • Advanced log processing and debugging techniques

  • Practical exposure to Apache logs, Filebeat, and data pipelines

  • Industry-relevant DevOps workflows.

Requirements

  • Basic Linux command-line knowledge

  • Understanding of Docker and containerization concepts

  • Familiarity with ELK stack fundamentals

  • Introductory knowledge of microservices architecture

  • Basic understanding of YAML configuration files.

Target Audience

  • Software developers and engineers

  • DevOps and Site Reliability Engineers

  • System and IT administrators

  • Software architects and technical leads

  • Students and learners exploring DevOps technologies

  • Tech founders and product teams.

FAQ

Q1. Is prior Logstash experience required?

Basic familiarity helps, but the course covers Logstash fundamentals.

Q2. Does the course include hands-on projects?

Yes, it includes real-world case studies and practical deployments.

Q3. Will I learn the full ELK stack?

Yes, the course covers Elasticsearch, Logstash, and Kibana integration.

Q4. Is this course suitable for DevOps roles?

Absolutely. The course aligns well with DevOps and cloud deployment roles.

Q5. Do I need cloud access?

A local or virtual machine is sufficient for all exercises.

Career Benefits

  • Skills for DevOps, SRE, and backend engineering roles

  • Ability to deploy and manage microservice architectures

  • Expertise in centralized logging and monitoring

  • Improved troubleshooting and debugging capabilities

  • Strong foundation for modern infrastructure and cloud-based roles.