Labguru Cloud Deployment Models
Labguru offers two distinct cloud deployment models to suit varying needs of laboratory data management: the Labguru Public Cloud and the Labguru Private Cloud. Each model is built on Amazon Web Services (AWS) infrastructure but differs significantly in terms of tenancy, data management, and customization.
1. Labguru Public Cloud – A Multi-Tenant Shared Platform
The Labguru Public Cloud operates on a multi-tenant architecture, where multiple customers share the same computing resources while their data remains securely segregated. This model is optimized for efficiency, scalability, and cost-effectiveness.
Key Features:
Region Selection: Users can select general regions for data hosting, such as EU, US, CA or UK.
Data Isolation: Data is logically segregated through different Amazon RDS SQL schemas, ensuring robust security.
Storage Management: File uploads are managed in separate Amazon S3 storage buckets per tenant.
Security Measures: All data is encrypted during transmission (in-flight) and while stored (at rest).
Managed Services: BioData handles all server maintenance, monitoring, security, backup, and disaster recovery.
2. Labguru Private Cloud – A Single-Tenant Dedicated Solution
The Labguru Private Cloud offers a single-tenant architecture, providing a dedicated environment for organizations with stringent requirements for data control, privacy, or compliance.
Key Features:
Exclusive Resources: Each customer is allocated a private server, ensuring complete isolation of data and resources.
Customizable Regions: Users can choose specific AWS regions for data hosting.
Unique Storage Accounts: Uploads are stored in a dedicated S3 account exclusively for the customer.
Enhanced Security: Like the Public Cloud, all data is encrypted at flight and at rest.
Comprehensive Management: BioData takes responsibility for server maintenance, monitoring, security, backup, and disaster recovery.
Single-Tenant vs. Multi-Tenant Architectures: What’s the Difference?
Understanding the core distinctions between single-tenant and multi-tenant architectures can help organizations choose the most suitable deployment model.
Feature | Single-Tenant (Private Cloud) | Multi-Tenant (Public Cloud) |
Resource Allocation | Exclusive resources for one customer. | Shared resources among multiple customers. |
Data Isolation | Physical and logical isolation. | Logical isolation only. |
Cost Efficiency | Higher cost due to dedicated infrastructure. | Lower cost due to shared infrastructure. |
Customization | High – tailored to customer needs. | Limited – standardized across all tenants. |
Scalability | Depends on the allocated infrastructure. | Highly scalable as resources are pooled. |
Compliance & Security | Ideal for industries requiring stringent compliance (e.g., HIPAA, GDPR). | Meets standard security requirements for most users. |
By aligning deployment models with operational needs and compliance requirements, Labguru ensures laboratories have secure, reliable, and scalable options for their data management.