Udemy – Elastic 8 Project: Monitoring with Elasticsearch & Kibana 2023-12

Elastic 8 Project: Monitoring with Elasticsearch & Kibana, This course serves as a comprehensive guide to mastering the Elastic Stack, a powerful suite of tools designed for real-time data searching, logging, and analytics. This course is structured to cater to both beginners and experienced professionals who seek to deepen their understanding and practical skills in Elastic Stack components. The course begins with an introduction to the Elastic Stack, providing an overview of its components and potential use cases. This foundational knowledge sets the stage for a more in-depth exploration of Elasticsearch, the heart of the Elastic Stack. Students learn about data ingestion, document indexing, and essential CRUD (Create, Read, Update, Delete) operations. Special attention is given to data modeling, mapping, and the intricacies of analyzers, tokenizers, and filters. Practical labs, such as installing and configuring Elasticsearch, are integral to the learning experience. These hands-on sessions ensure that students can apply their theoretical knowledge in real-world scenarios. The course also covers Beats, specifically Metricbeat, including its installation and configuration, accompanied by a lab and slide overviews for a comprehensive understanding. The Kibana module introduces students to this powerful data visualization tool. It includes steps for installation, basic configuration, and creating dashboards. This section is pivotal for students to learn how to visualize and analyze data effectively, illustrated through examples like

What you’ll learn

• Master Elasticsearch fundamentals, including data indexing and modeling
• Learn to configure and manage Beats, with a focus on Metricbeat
• Acquire skills in Kibana for advanced data visualization and dashboard creation
• Gain insights into Elastic Stack’s security mechanisms and best practices
• Develop proficiency in role-based access control within the Elastic ecosystem
• Understand and implement cluster monitoring techniques for Elasticsearch
• Master the use of Elasticsearch’s CRUD operations for effective data management
• Gain hands-on experience in setting up and configuring a production-ready Elastic cluster
• Learn to integrate and configure Logstash for efficient data processing and ingestion
• Develop expertise in real-time infrastructure monitoring using Elastic Observability

Who this course is for

• IT Professionals: System administrators, network engineers, and IT support staff looking to enhance their monitoring and logging capabilities
• Data Analysts: Professionals working with large datasets who need efficient tools for data searching, visualization, and analysis
• Software Developers: Developers seeking to integrate Elastic Stack into their applications for improved data handling and analysis
• DevOps Engineers: Individuals in DevOps roles aiming to implement better monitoring and observability in their workflows
• Security Analysts: Cybersecurity professionals interested in leveraging Elastic Stack for security monitoring and threat analysis
• Database Administrators: DBAs wanting to expand their toolkit with Elastic Stack’s powerful data indexing and search capabilities
• Students in Computer Science/IT: University students or learners in related fields seeking practical skills in state-of-the-art data management and analysis tools
• Data Engineers: Professionals focused on building and maintaining data infrastructure, who can benefit from Elastic Stack’s robust data processing features
• Business Intelligence Professionals: Those involved in BI looking to leverage Elastic Stack for real-time analytics and reporting
• Tech Enthusiasts and Hobbyists: Individuals with a keen interest in data technologies and looking to acquire new skills in a leading data platform

Specificatoin of Elastic 8 Project: Monitoring with Elasticsearch & Kibana

• Publisher : Udemy
• Teacher : Mo Khalil , Muhammed Torkey , Cloudsark
• Language : English
• Level : All Levels
• Number of Course : 51
• Duration : 4 hours and 33 minutes

Content on 2024-5

Requirements

• Operating System Knowledge: Comfort with using either Windows, Linux, or macOS, as the course may involve installation and configuration tasks
• Basic Command Line Skills: Ability to use the command line or terminal for executing simple commands
• Computer System: A computer with sufficient RAM (at least 8GB recommended) and processing power to install and run Elastic Stack components
• A Learning Mindset: Eagerness to learn and experiment with new technologies

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : Not Available

Quality: 1080p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 342 MB

File size

1.33 GB