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
Overages
What are overages in SaaS?
In SaaS, overages refer to the additional costs or fees that are incurred when a user exceeds the contracted usage limits or terms of their plan. Examples of overages include user overages, storage overages, API usage overages, feature overages and support overages.
Single-Tenancy Environment
What is a single-tenancy environment in cloud computing?
A single-tenancy environment, also known as dedicated hosting or a dedicated instance, refers to a situation where each user or tenant has their own dedicated infrastructure and resources, including servers, storage and network components. These resources aren’t shared with any other users, maximizing performance and control.
Reserved Instances
What are reserved instances?
Reserved Instances (RIs) are a pricing and capacity reservation offering provided by AWS for their EC2 (Elastic Compute Cloud) and RDS (Relational Database Service) services.
They specifically allow users to commit to using a specific instance type in the same region for either a one or three-year term, in exchange for discounts of up to 72% – the exact discount is ultimately dependent on the commitment term, instance type, availability zone and region.
There are various types of Reserved Instances available, each with different terms and levels of flexibility. Standard Reserved Instances provide the highest cost savings but are the least flexible, whereas Convertible Reserved Instances offer more flexibility by allowing you to change instance families within the same instance type.
In contrast, Scheduled Reserved Instances offer a lower discount, but allow you to reserve capacity for specific time windows, such as business hours or weekends, providing cost savings for predictable workloads.
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.
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.