Elastic Stack Monitoring: Kibana, Beats & Logstash

Packt via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

14 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

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Overview

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Learn to monitor systems with Elastic Stack in this practical course on Elasticsearch, Kibana, Beats, and Logstash. Explore observability, architecture, and core concepts while mastering search analytics, data exploration, security monitoring, and real-time dashboards with hands-on demos. This course provides an in-depth exploration of the Elastic Stack, focusing on real-time monitoring, observability, and security using Elasticsearch, Kibana, Beats, and Logstash. It starts with a foundation in observability concepts, covering reliability engineering, key metrics, and the tool landscape. You'll then dive into the Elastic Stack ecosystem, exploring its evolution, features, and how it compares to other observability tools. As you progress, you'll gain hands-on experience with Elastic Stack architecture and deployment, including setting up Elasticsearch on Elastic Cloud and creating your environment. Further into the course, you’ll explore Kibana for visualization, Beats for log collection, and Logstash for log pipelines. Practical demonstrations will guide you through creating dashboards, tracking trends, implementing alerts, and integrating security monitoring. This course is perfect for IT professionals, data engineers, and cloud operators looking to level up their monitoring and security skills. By the end of the course, you'll be proficient in using Elastic Stack to manage, monitor, and secure cloud environments, analyze data, and derive actionable insights. This course is perfect for IT professionals, DevOps engineers, data engineers, and anyone interested in mastering Elastic Stack for observability, system monitoring, and security. It's designed for those who want to enhance their skills in cloud environments, data management, real-time monitoring, and security practices. A basic understanding of cloud platforms, networking, and data management will help, but no prior experience with Elastic Stack is required to get started. The course adopts a hands-on approach with step-by-step demonstrations to help you implement the concepts learned. You'll work with real-world tools and data, ensuring practical skills in observability, system monitoring, and security that you can apply immediately in your professional role. This course is based on Elastic Stack Monitoring - ES, Kibana, Agents/Beats, Logstash, by Yogesh Raheja, Thinknyx Technologies. This video is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Course Introduction
- This module provides an overview of the course structure and introduces key concepts related to the Elastic Stack monitoring framework. Learners will gain foundational knowledge about what to expect throughout the course and how monitoring tools are utilized in real-world scenarios.
Observability Fundamentals
- This module introduces the core concepts of observability, including its importance in system monitoring, the role of telemetry signals, and the fundamentals of reliability engineering. Learners will explore the tools and practices used to maintain system health and performance. By the end, they will understand how observability contributes to effective operations in modern systems.
Elastic Stack in the Observability Ecosystem
- This module provides a comprehensive overview of the Elastic Stack, its evolution, key features, and how it compares to other observability tools. Learners will gain a clear understanding of its role in modern monitoring systems and practical applications.
Elastic Stack Architecture & Getting Started
- This module provides an introduction to the Elastic Stack, covering its architecture, key components, deployment options, and documentation resources. Learners will gain an understanding of how to set up and navigate the Elastic Stack for monitoring and data management.
Elasticsearch Fundamentals & Core Concepts
- This module provides an in-depth look at the architecture and core operations of Elasticsearch, including REST API interactions, Kibana Console usage, and cluster health monitoring. Learners will gain practical skills in managing data, executing API requests, and understanding internal Elasticsearch processes.
Data Operations and Index Configuration
- This module covers essential data operations and index configuration in Elasticsearch, including creating, reading, updating, and deleting documents. It also explores efficient batch processing using the Bulk API and how to optimize performance through index settings. Learners will gain hands-on skills in managing and configuring Elasticsearch data structures.
Search Analytics and Mapping Control
- This module covers essential techniques for searching and analyzing data using Elasticsearch, including relevance-based ranking, query optimization, and mapping design. Learners will gain hands-on experience with advanced search methods and best practices for improving search performance.
Kibana Fundamentals & Data Exploration
- This module introduces learners to Kibana and its role in visualizing and analyzing Elasticsearch data. It covers the fundamentals of the Kibana user interface, setting up a demo environment, and using Elasticsearch DSL for log discovery. Learners will gain practical skills in data exploration and visualization within the Elastic Stack.
Visualizations and Dashboards
- This module provides an overview of Kibana's visualization tools and how to create effective dashboards. Learners will explore various chart types and data table configurations to better analyze and present data. The module also covers best practices for choosing the right visualization based on data needs.
Beats
- This module explores the fundamentals of using Beats for data collection within the Elastic Stack. Learners will gain hands-on experience with setting up and configuring Filebeat and Metricbeat, as well as visualizing collected data in Kibana. The module emphasizes practical skills in log and metric monitoring for system performance analysis.
Elastic Agent & Fleet
- This module provides an overview of the Elastic Agent and Fleet, covering their roles in managing observability, enabling centralized data collection, and integrating with Kibana for visualization. Learners will gain hands-on experience through demonstrations and knowledge checks to reinforce practical implementation skills.
Alerts
- This module explores the alerting capabilities of the Elastic Stack, covering how to create, configure, and execute alert rules. Learners will gain hands-on experience with monitoring and responding to critical events in real time. The content also emphasizes the importance of alert management and integration with monitoring systems.
Getting Started with Logstash
- This module provides an overview of Logstash and its role in the Elastic Stack, focusing on data processing, log parsing, and integration with Elasticsearch. Learners will gain hands-on experience with Logstash configurations, CSV and Grok filters, and building end-to-end log processing pipelines.
Conclusion
- This module provides a comprehensive summary of the course content, highlights the most important concepts learned, and offers guidance on how to continue applying the knowledge in real-world scenarios.