Cloud computing is the on-demand delivery of computing services and resources over the Internet. Cloud enables companies to use computing resources through a pay-as-you-go payment model.
Instead of buying and maintaining physical data centers, companies access technology services, such as computing power, databases, and storage, on an as-needed basis. This type of service enables companies to innovate faster, be more flexible, and to scale their infrastructure much easier and faster.
Based on the type of computing service, we have three models of cloud computing.
Infrastructure as a Service is the type of cloud computing most similar to the existing IT resources companies use on-premises. IaaS is made for companies that need building blocks to build their IT; it comes in the form of virtual hardware, data storage space, or networking features delivered through the Internet.
Platforms as a Service is the type of cloud computing made to help companies manage their underlying infrastructure (hardware and operating systems). It allows companies to focus on the deployment and management of applications instead of resource procurement, capacity planning, software maintenance, patching, or any other related task required to run infrastructure for their apps.
Software as a Service is the type of cloud computing created to deliver the complete product to the end customer. In most cases, when we talk about SaaS, we are referring to end-user applications like a web-based e-mail client, CRM, or any other software that you can run through your internet browser. With SaaS, clients don't need to worry about the underlying infrastructure or services required to run the software; they are managed by the service provider.
We have three types of cloud computing deployment models.
The cloud-based application is the type of application where the application and its infrastructure are fully deployed and run in the cloud. Apps are usually created in the cloud or migrated from existing infrastructure to take advantage of the cloud.
A hybrid deployment is a type of cloud computing deployment model where we connect infrastructure and applications between cloud and on-premises systems. The typical use case for the hybrid deployment model is when companies want to extend their on-premises infrastructure with cloud resources; this usually happens when companies require resources on an as-needed basis (testing/staging environments, special computing needs).
Private cloud is the type of cloud computing deployment model where we use virtualization and resource management tools on on-premises systems. All the infrastructure is maintained by in-house staff; this model doesn't offer so many benefits as a public cloud. In a private cloud, companies are still responsible for the underlying infrastructure and services.
In the cloud, companies have easy access to a broad range of specialized IT services that would be very hard to develop using in-house resources. The range of IT services and their scalability helps companies to be more agile and innovate faster.
Resources are used on an as-needed basis; there is no need to over-provision resources to handle peak situations. Resources can be scaled up or down depending on the current requirements.
In the cloud, capital expenses (data centers and physical servers) are replaced by variable expenses; companies only pay what they consume.
Cloud technology enables companies to expand to new geographic regions and deploy globally in a very short period. AWS has infrastructure all over the world, so you can quickly put your applications closer to your end-users and improve their experience.
Sedmi odjel is a cloud provider with over ten years of experience in running high end IT services. As an AWS partner and solution provider, we can help you utilize all the benefits of cloud computing based on the AWS cloud. As the biggest hyper-cloud provider (holding 60% of the global cloud market), AWS offers many services and solutions that help companies create stable, reliable, and scalable IT systems at the reduced cost compared to legacy on-premises systems.
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