Select Page

Is your CCaaS Multi-Tenant or Multi-Instance? Does it matter?

Over the last decade, things that used to be considered farfetched are becoming a reality more than ever. This fact is not different for the CCaaS (Contact Center as a Service) world. We live in a different kind of world now where the threat of Cyberwarfare looms over our heads, system outages and data breaches are regularly in the news and the discussion of Multi-Instance vs Multi-Tenant is once again an issue of importance.

The first cloud offerings started to appear during the late 90’s. Back then, the debate was over what architecture to adopt. Most vendors opted for faster implementation to market and the result was that Multi-Tenant architecture became a much wider implemented standard over the last 20 years. One of the main reasons is that Multi-Tenant architecture is cheaper for manufacturers to maintain which meant it was not only faster to market, but also available at a lower price and higher profit margin, even though Multi-Tenant architecture is more difficult to scale due to the complexities of their common customer infrastructure. At the same time, cyber-attacks, while a known issue, were not common enough to be a major concern or serious enough for companies to consider a more secure alternative, such as Multi-Instance architecture.

At Grupo NGN, we considered both approaches and we decided to go with a Multi-Instance approach, the more secure route for our customers even though it carries a higher cost to us.

What are the differences between Multi-Tenant and Multi-Instance?

Data Isolation

Data is kept on a shared repository. This means that the application must be more complex to prevent data access from one customer to another

Every customer has its own system and infrastructure. Data is logically and physically separated from each customer, thus making it more resilient and secure

Security

Any security breach affects ALL tenants (customers) and all the users sharing that environment

Every customer instance is isolated, so any security breach is limited to the single instance that is attacked without affecting other independent instances (customers)

Scalability

Updates and Upgrades occur for all tenants at the same time. In the unfortunate event of an outage, it affects all customers

Greater flexibility and control for each individual customer to schedule updates and upgrades. Outages only affect a single customer

Provider TCO

Providers can maximize their ROI by sharing a single infrastructure for all customers

Providers carry a lower ROI since its infrastructure is more complex to maintain

We at Grupo NGN believe that our customers deserve the best and most secure environment possible. All of our customers benefit from having a Multi-Instance environment that provides flexibility and security while still taking advantes of a single code-base and agile versioning deployment of new features.

With NGNCloudComm, we have gone one step beyond Multi-Instance within a rigid cloud offering with the flexibility for customers to select their cloud environment if desired. We can deploy across open cloud environments like Azure, Google and AWS. Grupo NGN can deploy a system with fault-tolerance redundancy wherever and however our customers need around the globe.

To find out more about it, please contact us.

 

844 GO GRUPO

(844) 464 7876

      

 

 



Click and talk to us

Sign Up for our Newsletter

Related Posts

Improve Text Messaging with NGNCloudComm

Improve Text Messaging with NGNCloudComm

With NGNCloudComm, Contact Centers imrpove text messaging with a Total Experience (TX) by passing key data securely through the entire process. Customer Experience increases as users go through a streamlined process that does not leave them frustrated, confused, or...

read more
What is Contact Center Artificial Intelligence

What is Contact Center Artificial Intelligence

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to perform tasks that typically require human cognition. These machines use algorithms and statistical models to learn from data and make decisions. The...

read more