"Tarantool Architecture and Development"
"Tarantool Architecture and Development" is a comprehensive, authoritative guide that delves into the inner workings and practical deployment of Tarantool, a pioneering in-memory database and application server designed for hybrid transactional and analytical workloads. Beginning with an exploration of the platform’s design philosophy and unique positioning in the landscape of in-memory data solutions, the book lays the foundations by articulating Tarantool’s core features—such as ACID compliance, seamless Lua integration, and its highly extensible architecture. Readers are introduced to primary use cases from high-performance caching to real-time message queues, supported by an overview of the community and the ongoing evolution of the ecosystem.
The text moves beyond fundamentals to a deep, architectural exploration of Tarantool’s system design, detailing its modular and fiber-based process model, transaction processing mechanisms, data durability assurances, and sophisticated storage engines. Advanced discussions encompass custom and composite indexes, high-throughput and low-latency query processing, and proven strategies for optimizing performance at scale. Dedicated chapters illuminate Tarantool’s robust support for distributed systems, including replication, sharding, and consensus protocols, equipping practitioners with the expertise to build resilient, scalable, and high-availability deployments tailored for modern enterprise environments.
From a developer and operations perspective, the book offers hands-on guidance for leveraging Tarantool’s Lua and C extensibility, configuring DevOps workflows, and ensuring comprehensive observability and security. Real-world case studies and practical scenarios showcase how Tarantool powers applications ranging from IoT and real-time analytics to multi-model workloads. Concluding with a forward-looking analysis of emerging research and future directions, "Tarantool Architecture and Development" serves as an indispensable resource for engineers, architects, and technical leaders seeking to master cutting-edge data infrastructure.
