Elasticsearch (7.5, 7.12.0) Logstash & Kibana Stack Tutorial

📚 Elasticsearch (7.5, 7.12.0) Logstash & Kibana Stack Tutorial

🚀 Course Headline: Master the ELK Stack with our comprehensive tutorial covering DSL Queries, Aggregations, and Tokenization, tailored for both beginners and advanced users!

Course Overview:

This course is meticulously structured into eight major sections to guide you through the core concepts of the Elasticsearch (Elk) stack, including Logstash, Kibana, and Beats, with a special focus on practical applications using DSL queries and real-time data analysis.

For First Time Users (Basic Understanding):

1. Introduction to the Course & Author: Get acquainted with the course outline and your instructor, Arun Singh. 🤝
2. Elasticsearch Stack Introduction: Learn about the components of the ELK stack, the role of Beats, and dive deep into the internals of Elasticsearch and Lucene Indexing to understand how they work. 🔍
   • Usage of Elasticsearch: Understand the core functionalities and capabilities of Elasticsearch.
   • Usage of Logstash & FileBeat: Learn when and how to use Logstash and FileBeat for data ingestion from various sources.
   • Usage of Kibana: Explore Kibana's features for visualizing and monitoring your data with real-life examples. 🧐 Internals of Elasticsearch Indexing: Uncover the mysteries behind indexing in Elasticsearch to optimize performance and storage.

For Advanced Users (In-Depth Knowledge):

3. Installation on Windows Server: Step-by-step guide to installing Elasticsearch and Kibana, with an upgrade option to 7.12.0 from the available archival versions. (Future Plan: Learn how to install these tools on a Linux server.)
4. Data Ingestion & Visualization: Engage in live examples of ingesting data from various sources like MySQL, Oracle, Apache servers, and Nginx logs using Logstash and Filebeat.
5. Kibana Dashboards & Data Exploration: Master Kibana's capabilities for creating visualizations, monitoring dashboards, and setting up data exploration with Metricbeat and WinlogBeat.
6. DSL Queries, Aggregations, and Tokenizers: Discover how to leverage Elasticsearch DSL for querying NoSQL databases effectively. Learn the power of aggregations for in-depth data analysis and the importance of tokenization for multilingual search capabilities.
   • Tokenization in English & Hindi: Explore the process of creating tokens to analyze English and Hindi language texts, understanding the nuances and complexities involved in cross-language searching. 📖 Example: "How are you? Is it all good. Looking a little upset today" vs. "आप कैसे हैं? क्या यह सब अच्छा है। आज थोड़ा परेशान दिख रहे हैं"
7. Cluster Configuration & Management: Dive into the world of Elasticsearch clusters, learning how to set them up for optimal performance and scalability.
8. Role Security & Monitoring: Understand the security aspects of the ELK stack, including user roles and permissions, and get to grips with monitoring tools for maintaining your cluster's health and efficiency.

This course is designed to provide you with a solid foundation in the ELK stack, from initial installation and data ingestion to advanced querying and clustering. Whether you're new to Elasticsearch or looking to expand your knowledge, this comprehensive tutorial will equip you with the skills necessary to leverage the full power of the ELK stack for real-time analytics and log management.

📅 Join us now and embark on a journey to master the ELK stack with confidence! 🚀