"OpenSearch Administration and Development Guide"
The "OpenSearch Administration and Development Guide" is the definitive manual for engineers, architects, and system administrators looking to deploy, operate, and extend OpenSearch at scale. Providing a robust foundation, this book intricately covers the origins and core architecture of OpenSearch, explaining its distributed nature, indexing internals, and the essentials of plugin-based extensibility. By delving into both the historical evolution and technical underpinnings, readers gain a clear understanding of cluster dynamics, metadata management, and the factors that set OpenSearch apart in modern search and analytics ecosystems.
This guide transitions seamlessly from foundational concepts to advanced operational techniques, offering best practices for cluster sizing, deployment automation, and resilient configuration management. It extensively addresses indexing strategies, data modeling, query optimization, and search analytics—empowering practitioners to design efficient data pipelines, handle time-series and log workloads, and streamline real-time or bulk ingestion. Dedicated chapters on security, compliance, and access control detail enterprise-grade methods for authentication, RBAC, auditing, and protection against vulnerabilities, ensuring deployments remain robust and regulation-ready.
Rounding out its comprehensive approach, the book explores observability, troubleshooting, DevOps automation, and extension through custom plugins. Real-world guidance on infrastructure as code, Kubernetes operations, managed service comparisons, and incident response prepares teams for diverse production environments. Whether building custom integrations with SDKs, managing multi-tenant environments, or fine-tuning search performance and reliability, this guide serves as an authoritative resource for mastering OpenSearch from day one to advanced optimization.
