Celestial deployed a multi-tenant SaaS application to the production-grade Azure cloud Infrastructure for our client, Datashapes. This same concept can be extended to other SaaS applications that may have similar use-case/requirements. The idea was to plan, design and implement an architecture that is highly available, scalable and secure.
Dissecting Problem
Challenges
Know the Client
A San Francisco Bay Area company, that is commercializing the patented, full-stack, market-ready DataShapes AI platform, in an enterprise-grade SaaS platform
Business Requirement
Architect a cloud infrastructure design that can host and support SaaS applications and their tenants.
To build a scalable, highly available, and yet secure platform.
Support multi-tenant architecture.
Challenges
The main challenge was infrastructure resource provisioning. To avoid the wastage of resources, the resource allocation should be in such a way that, it should support multi-tenancy without having too many overheads in terms of resource
our approach
Celestial’s Solution
Multi-tenancy
Dedicated and isolated set of resources for each tenant onboarded
Scalability
The application resource sets should be able to auto-scale themselves to improve performance
High Availability
Offers a high level of operational performance and quality over a relevant time period
Security
Access of the DevOps/Admin team to the infrastructure should be authenticated via Azure AD
the results
Outcomes
Implemented a multi-tenant architecture
Automated provisioning of Kubernetes objects
Azure AD integration
Technology Used
Azure
kubernets
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