Glossary

Cloud Unit Economics

What is cloud unit economics?


By definition, cloud unit economics refers to the financial analysis and evaluation of both the costs and revenue associated with operating a cloud-based business.


In other words, it’s a way of looking at how much it costs to run your business on the cloud, as well as how much it brings in.

What is cloud unit economics?


By definition, cloud unit economics refers to the financial analysis and evaluation of both the costs and revenue associated with operating a cloud-based business.


In other words, it’s a way of looking at how much it costs to run your business on the cloud, as well as how much it brings in.

Related Definitions

Reduction Clause

What is a reduction clause?


A reduction clause refers to a provision in a software agreement that allows customers to reduce the number of licenses or users covered by their subscription during the term of an agreement. This provides customers with flexibility to adjust their plan to meet evolving business needs, while avoiding paying for licenses or users they no longer require or needing to terminate the contract. The specific terms and requirements of a reduction clause may vary depending on the SaaS provider and the subscription agreement, for example it may be subject to a minimum number of licenses or users.

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SaaS Management

What is SaaS management?


SaaS management is the process of identifying, managing, and governing the software applications that exist within an organization’s technology portfolio.


When software goes unmanaged, it not only puts the business at risk of data breaches and security issues, but it can also lead to a substantial amount of wasted spend as a result of redundant and duplicate SaaS apps, not to mention unused licenses.

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Multi-Tenancy Environment

What is a multi-tenancy environment?


In cloud computing, a multi-tenancy environment refers to a situation where multiple users, also referred to as tenants, share the same physical infrastructure and resources. These resources, such as computing power, memory and storage are dynamically allocated based on the needs of each tenant. Each tenant’s data is, however, stored in separate databases to ensure both privacy and security.

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Auto-Scaling

What is auto-scaling?


Auto-scaling refers to the automatic adjustment of cloud computing resources based on an organization’s current demand and workload. It dynamically adjusts the allocation of resources to match the evolving requirements of an application or system without the need for manual intervention.


There are a number of benefits to using auto-scaling, the first being cost efficiency. By ensuring that resources are scaled up or down as and when needed, organizations can avoid over-provisioning and subsequently reduce unnecessary expenses. It also helps maintain consistent performance levels by automatically adding resources during peak demand periods.

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Service Level Agreement (SLA)

What is a service level agreement in SaaS?


A Service Level Agreement (SLA) is a subset of a Master Service Agreement (MSA) and contains specific details about the level of service that will be provided by the SaaS vendor. This agreement will specifically define the performance metrics, responsibilities, and expectations of both parties.


An SLA is likely to include uptime guarantees, the level of support that will be provided to the customer, response times for any support requests, information on how these requests will be managed and escalated, information on how the vendor will protect the customer’s data and ensure the security of its systems and networks, as well as details on how it will compensate the customer if it fails to meet the agreed-upon service levels.

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Data Storage

What is meant by data storage?


In the context of cloud computing, data storage refers to the process of storing and managing digital information in either a remote server or a data center provided by a cloud service provider such as Amazon Web Services (AWS) or Microsoft Azure.


The cloud ultimately provides a versatile platform for storing various types of data, whether that be documents, media files, application data, machine learning data or structured data.

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