Skills you will learn

  • Centralized Logging Fundamentals
  • ELK Stack
  • Components of the ELK Stack
  • Advanced Log Collection Techniques
  • ELK Stack Integrations and Automation
  • Applying Logging and Monitoring to Real-World Scenarios

Who should learn

  • Beginners
  • DevOps Engineers
  • Software Developers
  • System Administrators
  • IT Professionals
  • Site Reliability Engineers

What you will learn

  • Free Centralized Logging and Monitoring Course

    • Lesson 01: Course Introduction

      12:14
      • 1.002 Kickstarting DevOps Monitoring Essentials with Prometheus
        04:33
      • 1.01 Course Introduction Centralized Logging and Monitoring ELK
        02:35
      • 1.02 Kickstarting Centralized Logging and Monitoring ELK
        05:06

    • Lesson 02: Learning Objectives

      01:36
      • 2.01 Learning Objectives
        01:36

    • Lesson 03: Introduction to Logging and ELK Stack

      21:28
      • 3.01 Learning Logging Key Concepts and Practices in DevOps
        06:15
      • 3.02 Overview Components and Architecture of the ELK Stack
        03:50
      • 3.03 Common Use Cases of the ELK Stack
        00:33
      • 3.04 Creating Custom Log Message Formats for ELK
        02:44
      • 3.05 Structured vs Unstructured Logs Concepts Examples and Benefits
        04:30
      • 3.06 Centralized vs Distributed Logging Comparison Challenges and Selection Guide
        03:36

    • Lesson 04: Components of ELK Stack

      39:00
      • 4.01 Elasticsearch Overview Features Use cases and Functionality
        06:02
      • 4.02 The Indexing Process in Elasticsearch
        02:28
      • 4.03 Demo Setting up and Configuring Elasticsearch for Log Storage
        05:45
      • 4.04 Overview Features and Components of Logstash
        05:16
      • 4.05 Demo Building Logstash Piplelines for Centralized Log Collection
        05:11
      • 4.06 Introduction and Key Features of Kibana
        02:13
      • 4.07 Combining Kibana and Elasticsearch
        00:36
      • 4.08 Steps for Creating Dashboards in Log Data Exploration
        01:58
      • 4.09 Kibana in Action Uses Real Time Monitoring and Alerting
        01:48
      • 4.10 Demo Building Dashboards and Visualizations in Kibana
        07:43

    • Lesson 05: Advanced Log Collection with ELK Stack

      16:40
      • 5.01 Advanced Log Collection and Management with the ELK Stack and Filebeat
        02:29
      • 5.02 Integrating ELK Stack with Containers and Microservices
        04:09
      • 5.03 Advanced Log Collection Techniques and Why They Matter
        01:47
      • 5.04 Demo Configuring Filebeat to Collect Logs from Applications and Systems
        08:15

    • Lesson 06: ELK Stack Integrations and Automation

      28:10
      • 6.01 Integrating the ELK Stack and Automation Introduction and Advantages
        01:22
      • 6.02 Integration of ELK Stack with CI CD Pipeline
        04:43
      • 6.03 Apache Kafka and ELK Stack Streamlined Log Processing and Core Components
        01:40
      • 6.04 ​Steps to Integrate Kafka with Logstash
        02:08
      • 6.05 Elasticsearch and Kibana Configuration Steps
        00:52
      • 6.06 Alerts and Notifications Based on Log Data
        01:17
      • 6.07 Demo Building an Automated Log Processing Pipeline with Kafka and ELK Stack Part 1
        08:54
      • 6.08 Demo Building an Automated Log Processing Pipeline with Kafka and ELK Stack Part 2
        06:17
      • 6.09 Best Practices for Effective DevOps Logging with ELK Stack
        00:57

    • Lesson 07: Case Study

      01:39
      • 7.01 Centralized Logging and Monitoring Case Study
        01:39

    • Lesson 08: Key Takeaways

      01:32
      • 8.01 Key Takeaways
        01:32

    • Lesson 09: Lesson End Project

      13:07
      • 9.01 Lesson End Project Implementing Jenkins Logging using ELK Stack
        13:07
      • Knowledge Check
About the Course

When something breaks in production, the difference between finding the cause in minutes versus hours often comes down to whether your logging and monitoring setup actually works. This free course teaches you how to build that setup properly using the ELK Stack, one of the most widely adopted centralized logging solutions in the industry. From understanding why centralized logging matters to working through the components of the ELK Stack, advanced log collection, and real automation workflows, this course gives you the practical skills to monitor systems the way modern DevOps and engineering teams actually do.Read More

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FAQs

  • Is this course free?

    Yes, completely free. You get full access to every lesson and a certificate at no cost once you finish.

  • Is this course suitable for beginners?

    Yes, the course starts from the fundamentals of logging and the ELK Stack, though a basic understanding of DevOps or system administration concepts will help you follow along more easily.

  • What is the ELK Stack?

    ELK stands for Elasticsearch, Logstash, and Kibana — three tools that together form one of the most widely used centralized logging and monitoring solutions in the industry. Lesson 03 introduces all three and explains how they work together.

  • Do I need prior experience with Elasticsearch or Kibana?

    No prior experience is required. The course introduces each component of the ELK Stack from the ground up before moving into more advanced topics.

  • Does this course include hands-on practice?

    Yes, Lesson 09 is a dedicated end-of-course project where you apply everything you have learned by working with your own centralized logging setup.

  • What does Lesson 04 cover specifically?

    Lesson 04 breaks down each component of the ELK Stack individually, explaining what Elasticsearch, Logstash, and Kibana each do and how data flows between them.

  • Will I learn how to automate logging workflows?

    Yes, Lesson 06 covers ELK Stack integrations and automation, showing you how to connect the stack to other tools and reduce manual log management.

  • Does this course include a real-world example?

    Yes, Lesson 07 includes a case study that shows how centralized logging and monitoring with the ELK Stack is applied in an actual production scenario.

  • Is this course relevant for someone working in DevOps?

    Yes, centralized logging and monitoring are core DevOps skills, and the ELK Stack specifically is one of the most commonly used tools in real DevOps and SRE environments.

  • How does this course compare to learning Prometheus and Grafana?

    The ELK Stack and Prometheus with Grafana solve similar problems with different approaches — ELK is often used for log data, while Prometheus and Grafana focus more on metrics. Learning both gives you a well-rounded observability skill set.

  • How long does this course take?

    The course has a total duration of approximately two hours and is fully self-paced, so you can complete it whenever suits you.

  • Is there a certificate?

    Yes, you receive a free certificate upon completion that you can add to your resume or LinkedIn profile.

  • Can I access this on my phone?

    Yes, the course is accessible on any device, so you can learn wherever it is convenient for you.

  • Will this course help me troubleshoot production issues faster?

    Yes, the entire point of centralized logging is to make it easier to quickly find and diagnose issues across distributed systems, and this course is built around that practical goal.

  • What should I do after finishing this course?

    Build on your end-of-course project by experimenting with more complex log sources and dashboards, and consider pairing this knowledge with Prometheus and Grafana to round out your monitoring and observability skill set.

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