Service level agreements can contain many service performance metrics with appropriate service level objectives. A common case in IT service management is a call center or services. Among the metrics that are the subject of a common agreement in these cases, there are: cost / price are not the only drivers in determining value – there are other drivers such as quality of service, added value and business measures, to name a few. Typically, calibration clauses are a bit vague, from the benchmarker selection process to peer selection and the calibration process. Most processes are poorly defined, ambiguous and open to interpretation – meaning that the calibration project has little or no value. The underlying advantage of cloud computing is that of shared resources that are supported by the underlying nature of a common infrastructure environment. Therefore, SLAs span the entire cloud and are offered by service providers as a service agreement and not a customer-based agreement. Measuring, monitoring, and reporting on cloud performance is based on the final UX or its ability to consume resources. The disadvantage of cloud computing compared to SLAs is the difficulty of determining the cause of service interruptions due to the complexity of the nature of the environment. As applications are moved from dedicated hardware to the cloud, they must achieve the same or even more demanding service levels as traditional installations. SLAs for cloud services focus on data center characteristics and more recently include network features (see carrier cloud) to support end-to-end SLAs.  Service Level Agreements (SLAs) play a crucial role in regulating the relationship between the customer and the provider of a service and can be used at any time when quantifiable services based on the services are provided.
All the flaws of an SLA can have a significant impact on the entire line: an SLA full of fuzzy and misguided metrics or vague descriptions of services could allow any party to assert ignorance of the conditions or make creative interpretations of what the agreement implies. Uptime is also a common metric, often used for data services such as shared hosting, virtual private servers, and dedicated servers. Usual agreements include the percentage of network availability, operating time, number of planned maintenance windows, etc. Since the late 1980s, SLAs have been used by fixed telecommunications operators. Today, SLAs are so prevalent that large organizations have many different SLAs in the company itself. Two different units in an organization write an SLA, one being the customer and the other the service provider. This approach helps maintain the same quality of service across different units of the organization and across multiple locations in the organization. This internal SLA scripting also makes it possible to compare the quality of service between an internal department and an external service provider.  Service level agreements are also defined at different levels: SLAs typically include many components, from the definition of services to the termination of the contract.
 In order to ensure strict compliance with SAAs, these agreements are often designed with specific dividing lines and stakeholders need to meet regularly in order to create an open forum for communication. . . .