Building Multi-Tenant Saas Architectures: Principles, Practices and Patterns Using Aws (Paperback)
 
分類: Information technology industries ,
Web programming ,
Web services ,
Computer networking & communications ,
Cloud computing  
書城編號: 26962926

原價: HK$800.00
現售: HK$760 節省: HK$40

購買此書 10本或以上 9折, 60本或以上 8折

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出版社: Oreilly Media
出版日期: 2024/04/30
ISBN: 9781098140649

商品簡介


Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting the multi-tenant model of SaaS requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is stored, how resources are isolated, how tenants are authenticated, how microservices are built--these are all examples of areas that builders must consider when designing and creating SaaS offerings.

This practical book equips SaaS builders and architects with a collection of patterns, strategies, and insights to help you bridge these technical and business challenges. Tod Golding, a global SaaS lead at AWS, provides you with an end-to-end view of SaaS architecture and development techniques for addressing the unique blend of challenges associated with building a robust SaaS solution that realizes its full potential.

  • Develop a clear view of the landscape of SaaS architecture patterns and strategies
  • Walk through all the moving parts of the SaaS environment, identifying the trade-offs and considerations that will influence the footprint of your multi-tenant solution
  • Examine multi-tenant constructs through the lens of real-world SaaS solutions
  • Go inside multi-tenant microservices, exploring strategies and techniques that are used to reduce developer complexity and hide away the details of tenancy
  • Identify design and architecture strategies that allow teams to support a range of workloads and tenant experiences
  • Learn foundational principles for building robust multi-tenant SaaS offerings
  • Learn the inner workings of SaaS architecture patterns, including tenant isolation, noisy neighbor, tiering, onboarding, identity, and data partitioning
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