Build a Multi-Tenant Architecture

Recently, we developed a SaaS platform for the UK fintech company FirstHomeCoach. In its first year, FirstHomeCoach processed over 40,000 data points, helping more than 5,000 users plan property purchases, and over 1,000 people used its mobile application. So, if you’re determined to succeed like other of our respected clients, contact us today. Once you opt for a multi-tenant architecture for your SaaS application, it’s crucial to implement best practices to guarantee security, scalability, and efficiency.

Scalability is a critical aspect of Multi-Tenant Architecture as it enables efficient resource sharing among tenants and allows for seamless scaling of resources and infrastructure as tenants increase. It also enables quicker time-to-market and lowers operational expenses. By following these steps, we design a scalable, secure, and customizable multi-tenant SaaS application that meets the diverse needs of our tenants while optimizing resource utilization and cost efficiency. The Secure store service is used to store and serve the tenant information. This service typically stores id, unique-name, database address, and database credentials for the tenants, etc.

Approach #4 : Multiple Databases, Multiple Tenants Per Database, Shared Schema

This database can co-exist on the same database server as other tenants, or it can be isolated onto its own database server. In all cases, some data only exists in the primary database (the one installed with Deep Security Manager). When multiple database servers are available, tenants are created on the database with the least amount of load. Multi-tenant cloud was often (but now less frequently) used as a synonym for shared hosting or for any architecture in which customers share computing resources in a public or private cloud. So a «multi tenant DB» is one which supports this directly, where parts of the db model or tables are shared.

For example, if your primary tenant username is «jdoe», and you create a temporary account inside tenant «T1», then you would be immediately logged into «T1» as «support_jdoe». The installer upgrades the primary tenant first, followed by the other tenants in parallel (five at a time). Once the installer What Is a DevOps Engineer? How to Become One, Salary, Skills finishes, run the same installer on the other manager nodes. Use the legacy REST API’s status monitoring to customize the type of tenant information that you would like to see, depending on your environment. For enterprises, this can be useful to determine the usage by each business unit.

Administering Multiple Databases ​

More recently, multi-tenancy has seen its most dramatic adoption with cloud computing. Multi-tenant architectures are found in both public cloud and private cloud environments, enabling each tenant’s data to be separated from other tenants. For example, in a multi-tenant public cloud, the same servers will be used in a hosted environment to host multiple users. Each user is given a separate and ideally secure logical space within those servers to run applications and store data.

  • In such a scenario, each tenant’s data is isolated and remains invisible to other tenants.
  • With this approach, data partitioning is implemented from the highest level (the tenants.) Also, since data is separated per tenant, one indexing level is avoided.
  • The multi-tenant database option also opens the gates to hybrid options in the future if you need a higher level of isolation for some tenants.
  • For background processing, each tenant is assigned a manager node that takes care of job queuing, maintenance, and other background tasks.

Your Account Name, Username, and a link to access Deep Security will follow in a separate email. Leverage automation and orchestration tools to streamline deployment, management, and scaling processes. This will reduce manual intervention, improve efficiency, and ensure consistency across the application. Seamlessly modernize your VMware workloads and applications with IBM Cloud.

2.2. Separate schema

The application is aware of the client’s tenant and knows what database to use for the client’s tenant. With SingleStoreDB, it is not very cost-effective to have separate clusters for the same application since each cluster has at least one master and a few aggregators. You won’t be able to escape that if you need to serve customers globally, so you can be prepared if you want to reach that goal.

What is database multi-tenancy?

The simplest multi-tenant database pattern uses a single database to host data for all tenants. As more tenants are added, the database is scaled up with more storage and compute resources. This scale up might be all that is needed, although there is always an ultimate scale limit.

Single tenancy means that there is only one instance of a cloud software solution running on its supporting hardware and infrastructure components. There is no sharing with multiple customers involved in a single-tenancy environment. Software development and maintenance costs are shared, driving down expenditures, resulting in savings that are passed onto you, the customers. Customers use instances of resources and services to assemble an infrastructure that’s appropriate for hosting a business application. But every cloud resource or service shares underlying hardware and network bandwidth.

Multi-tenant app with database per tenant

The feature to attach/detach a database can be helpful in a lot of scenarios, depending on your specific use case. Of course, there is a latency on those commands because you need time to get data from the object store and load it in memory, and that will depend on the tables used and the data size. However, if schemas are colocated on the same hardware, one tenant which runs a resource-intensive job might incur latency spikes in other tenants. Therefore, although data is isolated, sharing resources might make it difficult to honor the Service-Level Agreement. In a catalog-based multitenancy architecture, each customer uses its own database catalog.

  • There are additional tables for indexing, relationships, unique values etc.
  • There is no sharing with multiple customers involved in a single-tenancy environment.
  • If you find yourself in that scenario, try optimizing the table cache vs. buffer memory so you have a good balance, and the server is stable.
  • If they cannot, then they try another node on the list, continuing this process until either a connection succeeds, or no nodes can be reached.
  • Each model is traditionally discussed in terms of application and database — the data used by the application — relationships.

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