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Postgres Clustering with Fly.io : The Complete Guide for Developers and Engineers - William Smith

Postgres Clustering with Fly.io

The Complete Guide for Developers and Engineers

By: William Smith

eBook | 21 August 2025

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"Postgres Clustering with Fly.io"

"Postgres Clustering with Fly.io" is the definitive guide for database professionals, SREs, and architects building resilient and scalable PostgreSQL clusters in the modern cloud. This comprehensive volume walks readers through the evolution of Postgres replication, the core concepts of distributed databases, and the architectural choices confronting teams striving for high availability and global performance. With clarity and depth, it examines primary/replica, multi-master, and sharded cluster topologies, connecting each to the trade-offs imposed by the CAP theorem, consensus algorithms, and network partition handling.

At its heart, the book demystifies Fly.io's unique platform for stateful workloads, exploring multi-region networking, anycast connectivity, and resilient persistent storage. Readers gain hands-on guidance for leveraging Fly.io's primitives—such as ephemeral compute, service discovery, and security isolation—to deploy, automate, and scale robust Postgres clusters. Sophisticated deployment workflows, cluster orchestration solutions like Patroni and Stolon, and advanced replication strategies empower teams to deliver globally available, low-latency data platforms with zero-downtime upgrades and comprehensive observability.

"Postgres Clustering with Fly.io" does not stop at system design. It equips practitioners with actionable advice on performance tuning, security and regulatory compliance, secrets management, and disaster recovery. Through detailed coverage of backup strategies, forensic analysis, incident response, and SRE best practices—including chaos engineering and CI/CD integration—this book is both a tactical manual and a strategic roadmap. Case studies and coverage of emerging trends ensure readers are prepared not just for today's distributed database challenges, but for the future of data infrastructure in the cloud era.

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