In our blog series, cloud computing, we have discussed basics of cloud computing and top ten reasons why field workforce should be on the cloud. In this blog, we shall discuss various types of cloud service models.
In cloud computing, there is a spectrum of offering types. There are five commonly used categories:
The distinction between the five categories of the cloud offering is not necessarily clear-cut. In particular, the transition from IaaS to PaaS is a very gradual one. Out of the above services, IaaS, PaaS
Platform-as-a-Service (PaaS): Instead of just offering applications over the Web in the form of Software-as-a-Service (SaaS), PaaS public cloud players are actually offering an entire Platform-as-a-Service (PaaS). In this model, it is the operational capability of the platform hosting that is of primary value here ( and that is how such platforms are typically billed). This has far-reaching implications to both the business models of PaaS vendors as well as their customers. Cloud capabilities can improve the productivity of your development test teams to roll out new applications and SOA services faster and reduce application backlog. PaaS saves costs by reducing upfront software licensing and infrastructure costs, and by reducing ongoing operational costs for development, testing, and hosting environments.
PaaS significantly improves development productivity by removing the challenges of integration with services such as
Software-as-a-Service (SaaS): SaaS saves costs by removing the effort of development, maintenance, and delivery of software; eliminating up-front software licensing and infrastructure costs; and reducing ongoing operational costs for support, maintenance, and administration.
The time to build and deploy a new service is much shorter than for traditional software development. By transferring the management and software support to a vendor, internal IT staff can focus more on higher-value activities. Applications that require extensive customization are not good candidates for SaaS. Typically, this includes most complex core business applications that will not be the best suit for SaaS. There are also issues involved in moving to SaaS.
There are also issues involved in moving to SaaS. Moving applications to the Internet cloud might require upgrades to the local network infrastructure to handle an increase in network bandwidth usage.
Infrastructure-as-a-Service (IaaS): IaaS saves costs by eliminating the need to over-provision computing resources to be able to handle peaks in demand. Resources dynamically scale up and down as required, reducing capital expenditure on infrastructure and ongoing operational costs for support, maintenance, and administration.
The time required to provision new infrastructure resources is reduced from typically months to just minutes- the time required to add the requirements to an online shopping cart, submit it and have it approved. IaaS platforms are generally open platforms, supporting a wide range of operating systems and frameworks. This minimizes the vendor lock-in.
SaaS is considered to be considerably more mature as a cloud offering than PaaS or IaaS. Even then, it is mainly Small & Medium Businesses that have adopted cloud services. Adoption by the larger enterprises is still extremely low. A perception of cloud services as a high-risk technology option has led the large organizations to restrict the use of cloud services to a limited number of projects. PaaS is a more sophisticated service platform and is still an emerging product. It will need to stabilize and mature before developers can use it for the extensive building of new SaaS applications.
Noida-based FarEye gives organizations real-time visibility and predictive intelligence through its SaaS platform, which enables quick and reliable movement of goods using mobility, data analytics, and automation.
Logistics software is going through major changes in not just their capability or feature set, but a complete overhaul that pivots them in a different direction altogether. The scope of logistics as a function itself is changing so dynamically and rapidly that to keep track of the increasing changes becomes a daunting task.
According to a study, only 6 percent of companies are successfully able to achieve supply chain visibility, and this is not surprising because 70 percent of businesses describe their supply chain as “extremely complex.”