Big data cloud computing. Hybrid clouds confuse the first two concepts. For example, one cloud for applications and another for data. They are an alternative to expensive redundant infrastructure to ensure business continuity in the event of a failure, accident, etc. A company with a private cloud can use a public cloud during a ramp-up or alternate public and private clouds depending on the business environment. Public cloud leased to a vendor will be considered by customers as belonging to a private cloud.
Hybrid clouds combine the benefits of public and private clouds. They allow you to distribute data processing in accordance with the policy previously defined by the user, depending on whether the data is strategic or not. For example, users can put sensitive data and applications in their private clouds and applications, which require more flexibility in public clouds, which are more economical and more efficient. The public part of the cloud can be used to test the functioning of a newly developed application before it is actually launched. However, hybrid clouds also inherit the weaknesses of public and private clouds, such as initial investment requirements and customer service costs, security and privacy issues, and so on. In addition, the cumbersome management of two or more clouds can be more restrictive for customers. Combining public and private clouds can also create additional problems, such as the complexity of integrating services, differences in security policies, etc.
Cloud computing enables enterprises to use IT services on demand and pay-per-use. These services can take various forms: as a user-driven application, as a platform on which the application runs, and as an infrastructure that provides the necessary hardware resources for the platform. This concept is then broken down into three sentences: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS), which we will go into more detail later.
IaaS (or infrastructure as a service) provides users with infrastructure with ready-made computing resources, such as servers, network equipment, storage space, and so on. Customer hardware and IT resources are dematerialized. IaaS is seen as an abstraction of a data center in which consumers host their production environment and applications. Therefore, customers have a production environment (which they do not own) with hardware capabilities that can adapt to changing needs at any time. Thus, from the client’s point of view, these resources are endless, new resources can be provided to them on demand (and bills for use) in case of increased demand. Conversely, they can be removed if they are no longer needed.
Cloud data service. Clients can start or stop virtual servers on demand in these data centers without worrying about basic physical machines and the associated management costs (equipment replacement, air conditioning, electricity, etc.). This allows customers to focus more on developing their applications without having to worry about buying their own servers or managing infrastructure. However, this does not remove all the responsibilities of users of the company. The advantage of this approach is that it is very flexible, but requires the same skills from IT professionals as for traditional on-premises server solutions. Users retain responsibility for managing their system environments and corresponding software levels. They must have enough qualified human resources to manage their own systems and ensure the proper functioning of their applications installed on virtual machines in the cloud.
Doubts about security, the geographic location of data, and virtual machines are major barriers to adopting infrastructure as a service. But these doubts are beginning to dissipate due to restrictions imposed by certain regulatory authorities on providers of public clouds, the proliferation of local suppliers and maturity of proposals. Another barrier to entry is the incompatibility of the various technologies used by each cloud provider.