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Master Kibana Monitoring & Python Integration

This course is part of Kibana Projects: Data Analytics & Visualization Specialization

Instructor: EDUCBA

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Set up Elasticsearch, Kibana, and configure Metricbeat.
Design dashboards to monitor and analyze system metrics.
Integrate Python scripts to automate metric reporting.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

91% of learners achieved a positive career outcome

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Build your subject-matter expertise

This course is part of the Kibana Projects: Data Analytics & Visualization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

By the end of this course, learners will be able to set up Elasticsearch and Kibana, configure Metricbeat for system monitoring, design insightful dashboards, and integrate Python scripts to automate metric reporting.

This hands-on course takes learners step by step through the process of monitoring and analyzing metrics with the ELK stack, focusing on real-world applications. In Module 1, learners will explain project setup, configure Metricbeat, and demonstrate Kibana dashboards, gaining practical skills in visualization and request–response analysis. In Module 2, learners will apply Python fundamentals, use loops and functions, and integrate Python with Elasticsearch to generate automated reports. What makes this course unique is its blended approach—not only does it cover core ELK stack monitoring, but it also builds Python programming skills that enhance automation and efficiency. Learners gain dual expertise: monitoring infrastructure with Kibana and programmatically managing data with Python. This combination ensures that participants can handle both visualization and automation, making them valuable in DevOps, data engineering, and system monitoring roles.

Module details

This module introduces learners to the essentials of Elasticsearch and Kibana project setup. It covers environment preparation, Metricbeat configuration, and the creation of dashboards for metric visualization. Learners will also explore the request–response cycle in Elasticsearch to understand how data queries are processed and monitored effectively.

What's included

5 videos3 assignments

This module builds Python programming skills for automating metric tracking with Elasticsearch and Kibana. Learners will begin with Python fundamentals and progress to advanced topics such as functions, loops, and data structures. The module concludes by integrating Python with Elasticsearch to generate automated reports and streamline monitoring workflows.