Hands-on Splunk on AWS

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. 

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

Jit Sinha is a seasoned Solution Architect with over 13 years of experience in the industry, currently working at a multinational IT company. As a certified Solution Architect in Splunk, AWS, Azure, and Google Cloud, his expertise extends to designing and implementing complex IT solutions for clients across various industries. His passion for cybersecurity and data analytics has made him a leading expert in using Splunk for data analysis, security operations, and threat detection.

In recent years, he has also studied the emerging field of generative AI, exploring its applications in enhancing cybersecurity measures and data analysis techniques. In addition to working in the IT industry, he also enjoys sharing his knowledge and experiences with others through training and public speaking engagements.