DataArt Verified Company

Cloud technologies are innovative technologies for working on the Internet. Distributed data processing technology in which computer resources and capacities are provided to the user as an Internet service. If you explain it in an accessible language, then cloud services are your working platform on the Internet, or rather on a remote server, which is provided as Internet services for the implementation of your goals, tasks, projects.

Cloud computing is a data processing technology in which computer resources are provided to the Internet user as an online service. The word "cloud" is present here as a metaphor, personifying a complex infrastructure that hides all the technical details behind it.

The definition of cloud computing is very confusing at first glance: this is a model for providing ubiquitous and convenient network access to a common pool of configurable computing resources (for example, servers, applications, networks, storage systems and services) that can be quickly provided and released with minimal management effort and the need to interact with the provider.

Specialized technical solutions, powerful servers, and disk storage are used to store and process a large amount of information from cloud services. It is quite difficult and expensive to create and maintain such technical systems independently: the maintenance of servers requires special technical conditions, separate premises and qualified personnel. DataArt has hundreds of certified cloud technology experts and maintains active partnerships with all major cloud service providers. Using a vendor-independent approach and in-depth technical knowledge, they will help you develop and implement a cloud strategy to achieve critical results for your business. One of the main purposes of data centers is to create suitable conditions for the placement of such technical solutions.

Cloud technologies are great for projects with a high degree of uncertainty, allowing you to quickly launch a project, save on equipment and not incur big losses if the hypothesis does not work. And if it works, it's easy to scale the solution. Different disaster recovery scenarios are possible in the cloud: periodic backups, resevr infrastructure, and others. Recovery from backups that are removed with a certain frequency is suitable when the maintenance of the backup infrastructure is more expensive than the downtime of services for some time.