Citus for Scalable PostgreSQL Systems: The Complete Guide for Developers and Engineers

"Citus for Scalable PostgreSQL Systems"

"Citus for Scalable PostgreSQL Systems" is a comprehensive guide designed for engineers, architects, and database administrators seeking to master the art of scaling PostgreSQL beyond single-node limitations. This book opens with a meticulous exploration of PostgreSQL’s foundational architecture, highlighting inherent challenges in scaling traditional relational databases, and then sets the stage by introducing the principles and evolution of Citus as a distributed extension. Readers will gain clarity on distributed data models, the shared-nothing approach, and strategic considerations for when— and when not—to leverage Citus in modern deployments.

Delving deep into Citus internals, the book unpacks essential architectural elements such as coordinator and worker nodes, sharding mechanisms, and efficient data distribution strategies. It offers actionable guidance on end-to-end deployment: from on-premise to cloud-native and managed cluster setups, complete with best practices for security, networking, provisioning, and advanced container orchestration. For practitioners tackling demanding workloads, detailed chapters on schema design, distributed query execution, real-time data ingestion, and analytical processing illuminate the nuances of high-performance, large-scale PostgreSQL systems powered by Citus.

Further, the narrative extends to address the operational lifecycle: high availability, fault tolerance, and day-two operations, including shard rebalancing, maintenance, and cost optimization. Security and compliance are covered exhaustively, with recommendations for access controls, auditing, and tenant isolation. Shaped by real-world case studies and emerging trends, "Citus for Scalable PostgreSQL Systems" is both a technical playbook and an industry roadmap, empowering data professionals to build resilient, elastic, and future-proof PostgreSQL clusters.

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Fecha de lanzamiento

Ebook: 12 de julio de 2025