What is a SaaS stack?
A SaaS stack is a collection of software-as-a-service (SaaS) applications and tools that are used across an organization. While the specific contents of any SaaS stack will vary depending on the nature of the business, it will typically consist of communication, collaboration, sales, marketing, HR, finance and data analytics software.
Related Definitions
Tail Spend
What is tail spend?
Tail spend refers to the unmanaged purchases made within an organization that fail to pass through an official procurement process. On account of their low value, the costs incurred by these purchases are seldom monitored by financing teams as they are generally too small to be deemed “strategic”. The problem, however, is that they can make up as much as 20% of a business’ total spend.
Decentralized Procurement
What is decentralized procurement?
Decentralized purchasing in SaaS refers to the process of allowing individual departments or teams within an organization to make their own purchasing decisions for software applications. This is in contrast to a centralized purchasing model, where all purchasing decisions are approved by a single procurement team or a department such as finance.
While a decentralized purchasing model can provide teams with the flexibility to select and purchase the tools that best meet their needs, without having to wait for approvals or navigate bureaucratic purchasing processes, it can create challenges for the company. This can include reduced buying power, higher costs, lack of control over vendor relationships, and increased compliance and legal risks.
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.
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.
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.
Zero-Based Budgeting
What is zero-based budgeting?
Zero-based budgeting is an accounting technique that requires all expenses to be justified and approved for each financial period, starting from zero rather than a pre-existing spend. This enables organizations to monitor and assess the necessity of each cost on a more granular level, lowering expenses and promoting fiscal responsibility.
Originally conceived in the 1970s, zero-based budgeting isn’t a new idea — but in the current economic climate, accounting for every dollar is helping businesses to regain control over their outgoings. The technique can be applied to a wide range of costs, from research and development to asset management.