Adopting the multi-tenant model of SaaS requires builders to take on a broad range of new architecture, implementation, and operational challenges. 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.

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