Everything as a service
Everything as a Service (also Anything as a Service ), or XaaS for short (also EaaS ), describes an approach to provide and consume “everything” as a service . This makes it the logical last step after there is already software, runtime environments and hardware as a service .
In this context, a distinction is made between the following parts:
Software as a Service (SaaS)
Under SaaS refers to a business model to sell software no longer as a license to a user, but rather the use to provide Selbiger as a service. This difference is comparable to that between buying a car and renting a car, since there is also a "per use" billing. This development was particularly driven by web services , which are usually billed per call. Examples of software as a service are Microsoft Office 365 or Google Apps .
Platform as a Service (PaaS)
Under PaaS refers to the approach of an integrated runtime (and possibly development) environment as a service to provide, must pay to the user. Well-known examples are SAP Cloud Platform , Google App Engine , Force.com and Microsoft Azure .
Infrastructure as a Service (IaaS)
Under IaaS refers to a business model that, contrary to the classic sale of computer infrastructure ( " My server is located in my basement.") Provides for them as needed ( on demand ) to rent. This results in a large number of possible applications, including a .:
- one-time applications become affordable
- Load peaks are absorbed
- sudden growth is possible without problems (scalability)
- Unused capacities can be released again immediately
- There is no need to maintain an extra infrastructure for applications that are rarely executed
- The virtualization technology required for this enables simple software testing on a wide variety of platforms
Possibly the best known provider of IaaS is Amazon Web Services with products such as EC2 for computing power and S3 for storage. Zimory is an internationally active German provider of management software for heterogeneous IaaS . IaaS ERP software is a. offered by SAP . In addition, IT service providers have specialized in targeted service administration.
In addition to the established as a service applications, there are also others that are being discussed or are already being used in isolated cases. Often these are already existing approaches that are also called as a service in the course of cloudification or are now also offered as a service. However, their membership in the XaaS stack is e.g. T. controversial. Some examples are:
High Performance Computing as a Service (HPCaaS)
High Performance Computing as a Service is an area that deals with high performance computing and would like to make this available as a service. It is also about implementing applications from grid computing by making a grid available as a service.
Data Intensive Computing as a Service (DICaaS)
Data Intensive Computing as a Service , like HPCaaS, describes the more scientific application of cloud computing . In contrast to this, it is less about extremely computationally intensive tasks and more about the processing (and storage) of very large amounts of data in the petabyte range, such as those generated at CERN in the LHC .
Humans as a Service (HuaaS)
Under Humans as a Service is understood to human intelligence as a web service to use. Comparable billing models are used, and it is often assumed that there are a large number of people who offer their services. This is mainly of interest for low-skilled activities such as image recognition, which a computer cannot or only very poorly or slowly can do. Most of the time, HuaaS services are mediated through marketplaces where providers and consumers meet. A well-known example of this is Amazon Mechanical Turk .
Artificial Intelligence as a Service (AIaaS)
Artificial Intelligence as a Service means that third-party providers make their AI capabilities available to others. This significantly reduces costs for anyone who wants to use artificial intelligence for themselves. The largest providers for this are Amazon ( AWS SageMaker ), Google ( Google Cloud ), Microsoft ( Azure AI ) and IBM ( IBM Watson ). The AIaas market reached a volume of nearly $ 2.5 billion in 2017 and is estimated to grow to over $ 77 billion by 2025.
Occasionally one can find approaches like
- Backend as a Service (BaaS)
- Backup as a service
- Banking as a Service (BaaS)
- Blockchain as a Service (BaaS)
- Business Process as a Service (BPaaS)
- Communications as a service
- Compliance as a Service
- Consensus as a service
- Container as a service
- Crime as a Service
- Crypto as a service
- Data as a service
- Database as a Service (DBaaS)
- Data center as a service (DCaaS)
- Desktop as a service
- Device as a Service (rental of computer hardware such as PCs and printers including maintenance and support.)
- Disaster recovery as a service (DRaaS)
- Encryption as a service
- Feature flag as a service
- Function as a Service (FaaS)
- Games as a Service (GaaS)
- Gaming as a Service (GaaS)
- Graph Database as a Service (GDaaS)
- Graphics as a Service (Gaas)
- Identity as a Service (IDaaS)
- Kubernetes Clusters-as-a-Service
- Load Balancer as a Service (LBaaS)
- Metering as a service
- Messaging as a service
- Mobility as a Service (MaaS)
- Monitoring as a service
- Music as a service
- Network as a service
- (Private) cloud as a service
- Ransomware as a Service (RaaS)
- Security as a Service
- Sensing as a service
- Storage as a service
- Storage Backend as a Service (SBaaS)
- Supercomputing as a Service
- Surface as a Service (the "Surface" refers to Microsoft's Surface tablets )
- Workplace as a Service (WaaS)
and other. Depending on the perspective, these can be classified into the classic three (IaaS, PaaS and SaaS).
From Canonical is available with Metal as a Service (MAAS) software to easily set up hardware server. The name is meant to indicate that setting up physical servers is as easy as setting up servers in the cloud.
Many service providers use this approach to present their service as-a-service to their customers in a short, concise and modern way. But the more providers from different areas of application use these approaches with the same initial letters (see the BaaS models), the less relevant this attempt at simplification is and can, under certain circumstances, have the opposite effect, namely confuse the customer.
This means that the providers must also explain what the abbreviated service is about. If you only search for these abbreviations on the Internet, you will often get ambiguous results. This is particularly evident at Baas and Maas, for which one can easily find a double-digit number of services that are offered as-a-service.
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