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Beschreibung
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.
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.
Über den Autor
Agus Kurniawan is an independent technology consultant, author, and lecturer. He has over 18 years' experience working on various software development projects, including delivering training courses and workshops, and delivering technical writing. He has done a few research activities related to wireless networking, software, and security in multiple universities. Currently, he is pursuing a Ph.D. program in Computer Science in Germany. He has previously written five books for Packt.
Details
Erscheinungsjahr: 2025
Fachbereich: Betriebssysteme & Benutzeroberflächen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9788197396656
ISBN-10: 8197396655
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kurniawan, Agus
Hersteller: Orange Education Pvt Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 20 mm
Von/Mit: Agus Kurniawan
Erscheinungsdatum: 29.10.2025
Gewicht: 0,669 kg
Artikel-ID: 134242775