One customer asks for a unique feature, then another, and one more. Another factor to consider is the chance for feature drift among tenants. In addition, each tenant is a replica, costing you multiples of what it may cost to host a single instance. In times of crisis, isolating which tenant may or not be in trouble can be challenging. The challenge to this approach is your team managing different variants of the same application. Finally, significantly smaller instances of databases can also visibly impact performance, with no other tenants using up valuable resources. The physical separation can reduce the cognitive complexity of accessing data, as there is no need for additional filters in code. You have different servers for all dependencies, but typically most developers will separate storage for each tenant. It becomes almost impossible for one tenant to access the resources of another tenant.
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The separation mechanism is typically logical, with code paths understanding what group is making a request and applying the necessary filters to reduce access to only relevant information. The most common approach to multi-tenancy is to group all tenants into a single instance, with mechanisms to separate all groups. We’ll be implementing these later with Entity Framework Core and ASP.NET Core. So first, let’s look at some examples of multi-tenancy approaches and their advantages and disadvantages. The ultimate goal of multi-tenancy is to significantly reduce an area of complexity, with the trade-off being some additional complexity. Multi-tenancy typically touches every aspect of an application from authentication and authorization, business logic, database schema, and isolation, and sometimes even elements users won’t see like the hosting environment. While you can bring multi-tenancy into existing applications, it makes it easier to build solutions when multi-tenancy is considered foundational. Teams wanting to adopt multi-tenancy typically have to design applications with the concept upfront. Although with many SaaS out there, you’ll see an organization is usually the boundary for specifying a tenant. A tenant can be a user, an organization, or other logical groupings. Tenant is a catch-all term, and teams define what it means to them. The focus of multi-tenancy can vary from security, maintainability, reduced infrastructural complexity, and improved resource utilization.
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To customers, it feels like they have their own copy of the software running, while the application really is just one deployment. What is multi-tenancy?Īt its core, multi-tenancy is an architecture where one codebase serves multiple customers while maintaining data isolation.
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In this post, we will explore what multi-tenancy means, why you may consider it when building an application, and how to implement it with the tools we’re all familiar with: Entity Framework Core and ASP.NET Core.
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