Cloud Computing is a technology that has grown in the market, being driven by the largest companies in the technological sector, such as Google, Microsoft, Dropbox, IBM, Amazon, Oracle, among others.
Organizations that work with a large volume of information need greater reliability and security for their data.
Between IaaS, SaaS, and PaaS, it’s not always easy to navigate. These three cloud computing models are based on different principles and do not meet the same needs.
In this article, we address the use cases for IaaS (Infrastructure as a Service), so that you can opt for the service most suited to your business process.
Infrastructure as a service is based on the delivery of computational infrastructure resources. Of all the possible models of cloud services, IaaS is the most flexible. In it, the contracting company has more power of action and creation on its servers.
In this way, the customer does not need to buy the equipment linked to these resources. However, the customer is responsible for its applications, its data, and the operating system.
Below mentioned are the top 5 vendors of IaaS till this day:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- Alibaba Cloud
- IBM Cloud
For those looking for greater flexibility, control and use of their own applications, IaaS is the most suitable option. When choosing to purchase an IaaS service, the company can expect to obtain great control over its infrastructure resources.
IaaS is used in several cases. It is useful for backing up, storing, and recovering data and helps manage fluctuating storage needs. Setting up test and development environments is also faster and cheaper with IaaS.
In addition, companies working with Big Data often use IaaS, which allows them to significantly increase their computing power. Blow mentioned are the top use cases for IaaS:
Building centralized file storage and backup option for many users is a very complicated task that can be performed in a few steps with Infrastructure as a Service.
It helps the user to use a wide range of services with excellent infrastructure. This can include computing, disaster recovery, analytics or BI as a service.
Software firms can benefit considerably from the scalability of an IaaS solution. With just a small amount of work, the testing and development environments can be set up and scaled again.
IaaS can be trusted to run critical business projects with higher scalability due to its SLAs in place and higher security.
While IaaS is not always appropriate for simple websites, it can be the optimal basis for more complex web projects. Particularly for sites with profoundly fluctuating traffic.
A website hosted in the cloud, for instance, can profit from the verbosity rendered by a massive network of physical servers and demand scalability to manage unanticipated demands.
Encountering complex tasks including several million variables or calculations usually entails the use of supercomputers or clusters. Here, IaaS can be a better alternative because of its scalability.
As the complexity of the networks always continues to grow, IaaS services are being considered for networking as support.
One of the building blocks of modern marketing is collecting huge amounts of user data. Processing them is even more important than collecting this information.
IaaS can manage, store and analyze big data because it can handle large workloads and can incorporate with business intelligence tools. This helps get business insights, with which users can build relations with their clients and predict current trends.
Recognized for its medical imaging facilities, GE Healthcare has continued its digital transformation in the past few years.
With a new cloud-based solution from AWS, GE Healthcare designed the GE Health Cloud to accomplish its purpose of empowering consumers to obtain value from data.
The GE Health Cloud works on Amazon EC2 cases. Nearly one petabyte of medicinal imaging information is collected in Amazon S3. By operating GE Health Cloud on Amazon Web Services, GE Healthcare is able to collect, store, access, and process information worldwide from different types of medical devices, including imaging.
The beverage giant Coca-Cola collaborated with SoftLayer to manage their CRM system effectively during peak seasons.
The reason collaborating with SoftLayer was helpful, in particular, because they followed a pay-as-you-go architecture.
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