Components of Multitenant SaaS on Azure

Finding a piece of your company’s software solution that can be sold unbranded to other companies opens up a whole new source of income for the firm!!

However, customizing the system to take into consideration the burden that a large number of tenants bring is frequently a difficult barrier to overcome.

It can be difficult and time-consuming to manage application accessibility. The process is simplified by a multi-tenant active directory, which enables a user to access a database with a legitimate user ID independent of a tenancy. This solution makes it possible to use Azure Active Directory from Microsoft Azure Cloud Services more quickly and effectively because the data is now more readily accessible across multiple tenants.

A group of Azure technologies is used in this solution to protect and balance the traffic. So, while you concentrate on boosting business growth, let Microsoft Azure handle your Enterprise Applications and Services.

Let’s dive deep into the components.

The suggested components for the architecture in this solution are the primary components. Check out the list of substitute components if any of the main components don’t work with your architecture.

Primary Components

Azure Active Directory (Azure AD): Serves as the application’s identity provider, requiring authentication and approving requests from beginning to finish.

Azure DNS: Domain name resolution is handled by Azure DNS, a hosting service. Multiple clients will be able to access a multitenant system through their own unique domains. Configure Azure DNS to direct client requests to the appropriate application stack.

Azure Front Door: A regional load balancer that directs client traffic to the appropriate region is called Azure Front Door. If one region fails, it can switch to the backup region and use Azure Web Application Firewall to safeguard the internet-facing entry point.

Application Gateway: Routes and load-balances internal application traffic to the various services that meet the business needs of the customer. While Azure Front Door distributes the load among high-level regions, Application Gateway monitors the demand for particular services inside a group. In a multitenant solution, the combination of Azure Front Door and Application Gateway enables complex load-balancing at all levels. For additional information on the options available, see this overview of Azure load-balancing.

App Service: The best service offered by Azure for web apps and web-based APIs is called App Service. Services like Azure AD and Azure Key Vault integrate with security. Scaling can be set up to happen automatically. The many App Service plans that the app can use also offer a range of resources that can be scaled. Integrated DevOps capabilities can be used by App Service for continuous integration and deployment to a variety of environments. Developers may concentrate on creating their applications thanks to these and other Azure platform supporting capabilities.

Azure SQL Elastic Pools: Offers a way to manage several databases in a flexible manner using a pool of resources. The service gives the databases access to resources as needed. It allows the creator of a multitenant SaaS architecture the capability to provide clients with database resources as they require them. Additionally, by eliminating huge portions of idle compute resources from various SQL Servers, the service lowers maintenance costs and overhead.

Azure Cognitive Search: Formerly known as Azure Search, is a service that gives your application access to potent indexing and query engine. Clients have access to powerful query functionality through it. They may also improve and augment the query functionality by utilizing Azure’s AI capabilities. Utilizing either an index-per-tenant or service-per-tenant approach, Azure Cognitive Search may take into account a multi-tenant active directory.

Azure Cache for Redis: Azure Cache for Redis delivers an in-memory managed cache to reduce latency and improve client performance by applying a caching layer as a service to the solution. High throughput enables the system to manage a large volume of requests from different tenants. The service can be flexibly scaled up as application loads rise. In order to safeguard and separate cached tenant data, it also enables encryption at rest.

AKS (Azure Kubernetes Service): This orchestrates the deployment of instances of container images to a cluster. Implementing a group of tools to control the following is frequently necessary to handle the data of various clients:

• Modeling data
• Data source interoperability
• Extract, modify, and load (ETL)
• Export-import transactions

The deployment to an AKS cluster can be done in the ideal situation by creating these numerous smaller components as container-based microservices. The framework includes capabilities for load balancing, auto-scaling, and upgradeability. Using the existing DevOps capabilities and Azure Container Registry, AKS interacts effectively with a continuous integration/continuous delivery (CI/CD) approach.

Alternative Components

Azure SQL Database: Implement an individual dedicated instance of the Azure SQL Database to replace elastic pools. Managing the instance directly and paying for the resources supplied cost more when using Azure SQL Database. But if the renter needs a dedicated server, it’s a viable alternative. The client may specifically need more control over the instance and dedicated resources. Tenants using an elastic pool configuration and tenants using a dedicated SQL Server can coexist. When tenants buy licenses for the SaaS, you can make a tier of SQL databases one of the pricing options offered to them.

SQL Server on Virtual Machines: Another alternative for deploying SQL databases is SQL Server on virtual machines. The tenant may already have on-site SQL Servers and preexisting IT infrastructure. The tenant might then prefer to utilize their present licenses, either as a full migration or in a hybrid arrangement. The data layer of the application can be configured to target any SQL Database due to the SaaS’s decoupled structure.

Virtual Machine Scale Sets: Using virtual machine scale settings, services can be installed in a VM environment that scales and expands automatically in response to demand. Virtual machine scale sets integrate well with a load balancer or application gateway to automatically rebalance load as the scale set grows. The scaling that this solution need is provided via virtual machine scale sets. But in many circumstances, we can outsource the management of the entire VM environment to App Service or AKS.

Recommended Reading: Guide to Multi-Tenant Active Directory

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