The Definitive Guide to OpenSearch

Master Amazon OpenSearch with this comprehensive guide, covering everything from basics to advanced techniques, and learn expert tips for efficient search and analytics

Key Features

• Master installation, configuration, and usage, from crafting queries through to building dashboards
• Address real-world scenarios with detailed case studies, applying knowledge to practical projects and challenges
• Learn best practices, avoid pitfalls, and optimize OpenSearch setups with professional insights
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

From seasoned data professionals managing billions of records to aspiring analysts exploring diverse datasets, this guide is for users at all levels who want to make the most of OpenSearch's capabilities and functionalities. Written by distinguished AWS Solutions Architects Jon Handler, Ph.D., a former search engine developer, Prashant Agrawal, a search specialist, and Soujanya Konka, an expert in large-scale data migrations, this guide brings together deep technical expertise with practical, hands-on knowledge of implementing OpenSearch in real-world scenarios.

Starting with an introduction to OpenSearch, you’ll get to grips with the key features before delving into essential topics such as installing OpenSearch, ingesting data, crafting queries, visualizing results, ensuring security, and optimizing performance. Each concept is accompanied by practical examples and tutorials, allowing you to grasp the material through hands-on experience.

Keeping up with OpenSearch’s new releases and updates, this book equips you to fully leverage its potential through real-world scenarios and examples that demonstrate how OpenSearch works.

Whether enhancing your search experience or extracting insightful analytics from data, The Definitive Guide to OpenSearch provides developers, engineers, data scientists, and system administrators with the tools needed to thrive.

What you will learn

• Understand OpenSearch fundamentals, architecture, and components
• Benefit from hands-on demos of data indexing, query crafting, and advanced features
• Master OpenSearch Dashboards to build monitoring solutions
• Discover techniques for scaling OpenSearch to handle large datasets and high traffic
• Explore performance optimization strategies
• Study example cases of successful OpenSearch applications
• Uncover OpenSearch integrations across industries through real-world cases

Who this book is for

This book is ideal for data professionals, developers, engineers, data scientists, and system administrators seeking to harness the power of OpenSearch for search and analytics use cases. Whether you’re a beginner or an experienced user, this guide offers valuable insights and practical knowledge to help you navigate the complexities of deploying and managing OpenSearch clusters effectively. For anyone looking to leverage OpenSearch for building robust search experiences and gaining actionable insights from data, this book is a must-have resource.

Table of Contents

1. OpenSearch Overview
2. Installing and Configuring OpenSearch
3. Deploying OpenSearch on AWS
4. Indexing Data
5. Effective Querying Techniques
6. Advanced Querying and Aggregations
7. Query and Visualize OpenSearch data
8. Introduction to OpenSearch Plugins
9. Generative AI with OpenSearch
10. OpenSearch in Action: Making Apps Awesome
11. Migrate to OpenSearch
12. Security in OpenSearch
13. Monitoring, Backup, and Recovery
14. Scaling and Performance Optimization

Jon Handler is a Senior Principal Solutions Architect at Amazon Web Services based in Palo Alto, CA. Jon works closely with OpenSearch and Amazon OpenSearch Service, providing help and guidance to a broad range of customers who have search and log analytics workloads that they want to move to the AWS Cloud. Prior to joining AWS, Jon's career as a software developer included four years of coding a large-scale, ecommerce search engine. Jon holds a Bachelor of the Arts from the University of Pennsylvania, and a Master of Science and a Ph.D. in Computer Science and Artificial Intelligence from Northwestern University.

Soujanya Konka is an accomplished Senior Solutions Architect at AWS with over 17 years of experience working with databases and analytics. She focuses on big data services and has worked with customers to migrate, right-size and enhance search using OpenSearch. Prior to joining AWS, Soujanya worked on large scale data warehouse and search migrations to the cloud and building enterprise search catalogs. Her journey has been one of continuous learning, innovation and equipping herself with skills and insights to tackle data challenges.

Prashant Agrawal is a seasoned Search Specialist Solutions Architect at AWS based out of Seattle. With over 13 years of invaluable experience in the field of search and log analytics, he brings a wealth of knowledge to every project where he collaborates closely with clients to facilitate seamless migration and fine-tune OpenSearch clusters for optimal performance and cost savings. Beyond his tech prowess, he's an avid explorer, often found immersing himself in travel adventures and discovering new places. In essence, he thrives on the mantra: Eat Travel Repeat, making each journey a delightful experience. Join him on a transformative journey where every search and analytics challenge become a rewarding adventure.