OpenSearch for Developers: Build, Query, Analyze, and Monitor Scalable Search and Analytics Solutions for Developers and Engineers (Paperback) (ISBN-13: 9798270094829)

OpenSearch for Developers gives you a complete roadmap for building and managing scalable search and analytics systems. It focuses on real-world development, deployment, and performance optimization with OpenSearch. The content is practical, structured, and focused on helping developers create efficient, maintainable solutions.

You will learn how to:

• Install and configure OpenSearch on local, cloud, and container environments.

• Design and manage indexes for structured and unstructured data.

• Build efficient query models for full-text search and analytics.

• Implement data ingestion pipelines using Logstash, Fluentd, and Beats.

• Secure your clusters with role-based access control and TLS encryption.

• Use OpenSearch Dashboards for interactive visualizations and reports.

• Monitor, log, and troubleshoot system performance.

• Automate deployments with Docker and Kubernetes.

• Integrate OpenSearch with modern developer stacks and APIs.

• Apply scaling and optimization techniques for production workloads.

This book includes detailed examples, step-by-step configurations, and best practices for real-world use cases such as:

• Application search systems

• Log and metric analytics

• E-commerce and recommendation search

• DevOps monitoring and observability

• Data-driven dashboards and reports

You will also explore how OpenSearch fits into modern development pipelines, CI/CD systems, and cloud-native environments.

By the end, you will understand how to design, deploy, and maintain OpenSearch solutions that are fast, scalable, and reliable. This book is a practical reference for software developers, DevOps engineers, and data professionals working with search and analytics at any scale.