Hands-on Splunk on AWS (Paperback)

Jit Sinha

ISBN 10: 9365891094 / ISBN 13: 9789365891096

Published by BPB Publications, New Delhi, 2024

About this Item

Paperback. This book is a complete guide to Splunk, a powerful tool for analyzing and visualizing machine-generated data. It explains Splunks architecture, components, and data flow, helping you set up, configure, and index data effectively. Learn to write efficient Splunk Processing Language (SPL) queries, create detailed visualizations, and optimize searches for deeper insights. Discover advanced topics like clustering and integrating Splunk into modern DevOps practices and cloud-native environments. The book also shares best practices for administration, troubleshooting, and security. Understand Splunk's search language to query, analyze, and visualize data. Create interactive dashboards and reports to communicate insights effectively. Integrate Splunk with modern DevOps practices to improve monitoring and troubleshooting. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9789365891096

Bibliographic Details

• Title: Hands-on Splunk on AWS (Paperback)
• Publisher: BPB Publications, New Delhi
• Publication Date: 2024
• Language: English
• ISBN 10: 9365891094
• ISBN 13: 9789365891096
• Binding: Paperback
• Condition: new

About this title

Synopsis

Description

Hands-on Splunk on AWS is a practical tutorial for professionals who wish to set up, manage, and analyze data with Splunk on AWS. This practical guide capitalizes on the scalability and flexibility of Amazon Web Services (AWS) to streamline your Splunk deployment.

This book is a complete guide to Splunk, a powerful tool for analyzing and visualizing machine-generated data. It explains Splunk’s architecture, components, and data flow, helping you set up, configure, and index data effectively. Learn to write efficient Splunk Processing Language (SPL) queries, create detailed visualizations, and optimize searches for deeper insights. Discover advanced topics like clustering and integrating Splunk into modern DevOps practices and cloud-native environments. The book also shares best practices for administration, troubleshooting, and security.

By the end of this guide, readers will be confident in utilizing Splunk on AWS to make data-driven decisions. Whether you want to improve your data analysis or use AWS for Splunk, this book will teach you the skills and insights you need in today's data-driven world.

Key Features

● Understand Splunk's search language to query, analyze, and visualize data.

● Create interactive dashboards and reports to communicate insights effectively.

● Integrate Splunk with modern DevOps practices to improve monitoring and troubleshooting.

What you will learn

● How to deploy and configure Splunk effectively on AWS.

● Key concepts and tools in data onboarding and indexing.

● Mastery of the Splunk Processing Language (SPL) for data queries.

● Techniques for creating and managing interactive dashboards.

● Integration of Splunk with Kubernetes and CI/CD pipelines.

● Methods for applying machine learning in data analysis with Splunk.

Who this book is for

This book is for IT professionals, data analysts, Splunk administrators, and cloud enthusiasts to improve their understanding of Splunk on AWS and extract valuable insights from their data.

Table of Contents

1. Introduction to Splunk Basics and Benefits

2. Setting Up Splunk on AWS

3. Splunk Architecture Components

4. Splunk Clustering on AWS

5. Data Onboarding and Indexing

6. Mastering SPL for Data Queries

7. Data Pre-Processing and Analysis

8. Creating Data Visualizations in Splunk

9. Using Splunk Dashboard Studio

10. Advanced Techniques with Lookups and Macros

11. Integrating with Kubernetes and CI/CD

12. Natural Language Processing with Splunk

13. Splunk for Hybrid Environments

14. Extending Splunk with Apps and Add-ons

15. Configuration and Deployment Management in Splunk

16. Administration Techniques for Experts

17. Effective Troubleshooting in Splunk

18. Conclusion and Next Steps in Splunk