Learn how to build an effective monitoring workflow by combining the visualization capabilities of Kibana with Python-based automation. In this hands-on course, you will set up Elasticsearch and Kibana, configure Metricbeat to collect system metrics, create interactive dashboards, and analyze Elasticsearch request–response flows to monitor data efficiently.

You will begin by preparing the project environment and understanding how Metricbeat sends metrics to Elasticsearch. Next, you will design Kibana dashboards that help visualize and track key metrics. In the second module, you will build Python programming skills by working with syntax, functions, loops, and data structures before integrating Python with Elasticsearch to automate metric reporting and streamline monitoring workflows. Designed for learners who want practical experience with monitoring and automation, this course combines ELK stack monitoring with Python programming in a single learning path. By the end of the course, you will be able to configure monitoring tools, build insightful dashboards, develop reusable Python scripts, and generate automated metric reports using Elasticsearch. If you want to strengthen your monitoring and automation capabilities through real-world, hands-on practice, this course provides a structured path to help you achieve those goals.