What is maverick buying?
Maverick spending, also known as rogue spending, can be defined as any purchasing that takes place within an organization, outside of an established procurement process.
In the context of SaaS, maverick spending refers to the acquisition of cloud-based software solutions that are purchased unbeknownst to the finance, IT or procurement teams, and in a way that does not comply with the organization’s formal IT procurement process — and so may not be approved, vetted, or appropriately documented.
Related Definitions
Pricing Benchmarks
What are pricing benchmarks?
In SaaS, price benchmarking often refers to the process of comparing the cost of software to that of an alternative provider. Using this insight, buyers may be able to leverage a more favorable counteroffer from their vendor of choice. The most effective approach to benchmarking prices and securing the best possible deal on any subscription, however, is to find out what other similar companies are actually paying for the software.
Spot Instances
What are spot instances?
As with any cloud service provider, AWS will have spare capacity available to support surges in customer demand. To offset the loss, AWS offers this excess EC2 capacity – in other words, spot instances – at a heavily discounted rate.
To benefit from these spot instances, users must bid on this unused EC2 capacity in their desired region. The capacity is then allocated to the highest bidder. While it can be a great way to reduce costs by as much as 90%, it is only suitable for workloads that can tolerate interruptions and don’t require continuous availability. This is because AWS will terminate the instance after a two-minute notification in the event that it needs to reclaim the resources, or because the spot price exceeds the bid price. In other words, when other customers are willing to pay more.
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.
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.
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.
Cloud Instances
What is an instance in the context of cloud computing?
In cloud computing, an instance refers to a virtual server provided by a third-party cloud service, for example AWS, Azure or Google Cloud. These instances ultimately enable companies to deploy and run their applications or services in the cloud, in a scalable and flexible manner. This is because instances are on-demand and can be adjusted based on your workload requirements.