Deno KV for Scalable, Distributed Applications The Complete Guide for Developers and Engineers
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Sprache:Englisch
8,47 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
13.07.2025
Verlag
HiTeX PressSeitenzahl
250 (Printausgabe)
Dateigröße
682 KB
Sprache
Englisch
EAN
6610001065270
"Deno KV for Scalable, Distributed Applications" "Deno KV for Scalable, Distributed Applications" is an authoritative and comprehensive guide for engineers, architects, and technology leaders seeking to harness the power of Deno KV in building resilient, high-scale distributed systems. The book opens with a thorough exploration of Deno's modern architecture and traces the evolution and critical roles of key-value stores in contemporary cloud-native environments. Through incisive comparisons with established distributed datastores like etcd, Consul, Redis, and DynamoDB, it sets a strong foundational context for Deno KV's unique capabilities and innovations. Delving deeply into data modeling, API patterns, and scalability techniques, the book covers essential topics such as namespace design, transactional operations, multi-tenant architectures, and advanced indexing. Readers gain actionable insight into managing evolving schemas, ensuring data consistency, and mastering concurrency control. Practical chapters illuminate sharding, replication, resilience, and real-world performance optimization, providing tools to design systems that deliver on both scalability and reliability while maintaining rigorous service-level objectives. Crucially, the book addresses the demands of real-world operations, from integrating Deno KV into cloud and edge environments to enabling secure deployments through robust authentication, encryption, and audit practices. Readers will discover distributed patterns-leader election, event sourcing, service discovery-and DevOps strategies for automated deployment, upgrades, monitoring, and incident response. The closing chapters explore emerging frontiers like AI, IoT, and open-source collaboration, equipping professionals to not only deploy today's solutions but also to contribute to the future of distributed data systems.
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