What is centralized procurement in SaaS?
Centralized SaaS procurement is a model in which all software purchasing decisions are made or approved by a single department, often either IT, procurement or finance. By having a streamlined process for purchasing and renewing software solutions, organizations can ensure they have total visibility of their SaaS apps, prevent wasted spend and maximize purchasing power.
Related Definitions
Outsourced Procurement
What is meant by outsourced SaaS procurement?
Outsourced procurement in SaaS refers to the process of hiring a third-party vendor to manage some or all aspects of a company’s procurement process. This can involve negotiating with vendors on your behalf to secure the best possible price and terms on any SaaS contract, while also refining, implementing and enforcing procurement processes that ultimately protect your business.
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.
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.
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.
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.
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.