Ultimate Elastic Stack for Observability and Real-Time Analytics

Transform Data into Insights through Complete Elastic Stack Practical Guidance.

Key Features

● Comprehensive coverage of Elasticsearch, Logstash, and Kibana.

● Real-world case studies for step-by-step practical deployment strategies.

● In-depth coverage of advanced topics including Elastic Stack security, Scalability, and Custom Plugin development.

Book Description

The Elastic Stack (Elasticsearch, Logstash, and Kibana) has become the go-to platform for search, logging, and real-time data analytics. Ultimate Elastic Stack for Observability and Real-Time Analytics takes you on a complete journey through this powerful ecosystem, from initial setup to advanced deployments.

Beginning with installation and configuration, the book introduces you to the fundamentals of indexing, querying, and visualization. From there, you will progress to building reliable data pipelines, optimizing clusters, and designing advanced dashboards that turn raw data into actionable insights. Each chapter builds on the last, ensuring you gain both technical confidence and practical experience with real-world scenarios.

By the final chapters, your journey expands into enterprise-ready skills, including securing your stack with authentication and encryption, achieving high availability for mission-critical systems, and deploying Elastic Stack in cloud-native, containerized environments. You will also explore plugin development and integrations that extend Elastic's capabilities beyond the basics.

What you will learn

● Set up and configure complete, optimized Elastic Stack environments.

● Design scalable data ingestion pipelines using Logstash and Beats.

● Create advanced Kibana dashboards for insights and real-time monitoring.

● Implement security, availability, and fault tolerance for critical systems.

● Develop and extend custom plugins across Elasticsearch, Logstash, and Kibana.

● Deploy Elastic Stack on cloud and modern containerized environments.

Table of Contents

1. Introduction and Initial Setup

2. Deep Dive: Elasticsearch

3. Deep Dive: Integrations

4. Deep Dive: Kibana

5. Developing for the Elastic Stack

6. Troubleshooting and Best Practices

7. High Availability, Fault Tolerance, and Security

8. Advanced Deployment Strategies

9. Case Studies

10. Beyond ELK: Integrating Other Elastic Products

Index

About the Authors

Agus Kurniawan stands out as an emblem of dedication and innovation in the world of Information Technology (IT). Boasting an illustrious career as an IT consultant, advisor, trainer, and author, he has carved a niche for himself as a beacon of knowledge and expertise.

Recognized for his exceptional contributions, he was honored with the prestigious Microsoft MVP Award continuously from 2004 to 2022. Such an accolade speaks volumes about his commitment to excellence, and his prowess in the realm of Technology.

Specializing in Software Engineering, Agus's interests are diverse and encompassing. He has ventured deep into the avenues of Machine Learning (ML), exploring its endless possibilities, and bringing innovations to life. His intrigue does not stop there, as the domains of Internet of Things (IoT) and Cloud Computing have also seen his pioneering touch. As the digital era evolves, Agus has continually emphasized the importance of DevOps, ensuring streamlined operations in IT projects.