We can’t really imagine the world today without cloud computing: it is one of the cornerstones of our modern life. Below we will explain what is cloud computing and how it works.
The broadest meaning of cloud computing is a collection of on-demand resources, primarily compute and data storage, that are accessed via the Internet and don’t require direct ownership and oversight by the user. The concept is not entirely new: as early as the 1960s, computer bureaus offered options for renting time on a mainframe. One can think of that as the earliest form of Infrastructure-as-a-Service (IaaS).
Today, cloud computing services are based on a nearly identical premise: remote network servers store, manage, and process data, in lieu of an on-premise local server. All of the components required — virtual pools of servers, storage, load balancers, and network services — are handled off-site by an outsourced entity called a “cloud provider” which offers the services to any business. When applications are hosted in the cloud, customers are using data that is not stored locally, but instead in a cloud computing facility owned and operated by third party providers.
Through virtualization technology, cloud providers are able to offer compute resources to businesses who want to deploy applications on shared hardware. The business pays only for the services they utilize to deploy applications or store data. Although cloud providers charge for their services, the typical upfront costs of paying for a cloud computing solution are significantly lower than the costs of building and maintaining their own infrastructure.
As access to high-speed Internet has increased dramatically, the cloud resources provided by these cloud providers, as well as by other smaller scale providers, have become incredibly valuable. Enterprises of all sizes can now grow their business regardless of their ability to purchase and maintain the underlying infrastructure. The ubiquity of the cloud strips away many of the challenges associated with traditional IT and enables businesses to achieve flexibility at any scale.
Cloud computing offers enterprises a way to shift away from investment in traditional IT resources (i.e., servers, storage media, maintenance, and IT staff), and instead to focus their efforts on application development and deployment. Below are a few of the leading benefits of cloud computing for enterprises from this shift:
Cloud computing services can be provided under a number of deployment and ownership types. Each customer can decide which type of cloud computing model fits best, depending on the needs of their business.
When most people hear the word “cloud,” they usually think of public cloud computing in which all the resources, such as servers and storage, are housed and operated in data centers owned by third party cloud service providers. The public cloud data centers can be located at great distance from the customers and are accessed by anyone with an Internet connection. Customers typically pay only for the services they consume (i.e., CPU cycles, storage).
While the underlying resources are used to provide services to many different application owners (known as multi-tenancy), providers ensure that each customers’ data and applications are fully sandboxed from all other customers.
Private cloud (sometimes called a Corporate Cloud or Virtual Data Center) varies from the public cloud in that the resources are dedicated to a single user and are not shared with other organizations. Many organizations, such as government agencies and banks, follow external regulations that do not allow data to be accessible to third parties. For them, the private cloud may be the best fit, even though it will be more expensive than the public cloud.
The private cloud can be physically located in a company’s on-site data center or can be hosted at a third party facility.
Hybrid Cloud Computing is a mix of private and public cloud solutions. It enables organizations to run critical workloads in their private environment for improved control, as well as to comply with regulatory and data sovereignty requirements. At the same time, other workloads can be migrated to the public cloud to take advantage of its agility and scalability.
In the hybrid cloud model, users with private clouds can always turn to a public cloud for specific use cases – for example, the handling of peak loads or the hosting of standardized functionalities – while maintaining core applications and sensitive data in their local infrastructure.
As discussed above, third party cloud providers offer computing services and storage housed in data centers that they operate and maintain. The demand for this service has increased dramatically in parallel with the meteoric rise in data generation and the corresponding need for storage. As a result, the data centers have metastasized into huge complexes with large numbers of servers.
These large data centers, such as those provided by Amazon Web Services, Microsoft Azure, or the Google Cloud Platform, are often called the centralized cloud. Due to the heavy operational costs of providing the service, the providers achieve economies of scale by centralizing the servers in a limited number of locations.
Although the centralized cloud is a good match for many computing needs, a growing number of applications require low latency and/or high throughput to the servers on which they run. They cannot rely on a centralized cloud located miles away to guarantee consistent performance and response times.
To address this challenge, a new cloud computing model has emerged, sometimes known as Edge Cloud Computing, that allows for offloading computational tasks to servers located at network edges, closer to end-users and end-devices. While latency and performance are improved, edge computing does not provide the scalability, flexibility and ease-of-use of the public cloud.
A new public cloud model has emerged in which even the most resource-intensive applications can be seamlessly deployed and scaled anywhere in the world. This cloud model enables organizations to deliver modern workloads locally from a global network of distributed data centers. Ridge is a market leader in the emerging, distributed cloud space.
Using Ridge’s distributed cloud, enterprises can easily deploy and scale their workloads anywhere and significantly improve the end-user experience. The underlying infrastructure is created by federating data centers and local cloud providers all over the world: there is no need for any additional infrastructure. A single API enables application developers to access each data center on the Ridge global network and to provide a seamless cloud experience in any location.
This local delivery of compute resources is essential for application owners who want to offer cloud-native services that require hyper-low latency. Furthermore, by running workloads through Ridge’s distributed cloud, enterprises maintain full compliance with country-specific regulations and data sovereignty laws.
There are a number of industries that directly benefit from using cloud platforms, including gaming, software development, travel, video streaming, and many more. With cloud computing, many common problems faced by IT can be solved directly with minimal investment. Below are a few common examples of cloud computing:
Whether users are individuals, small businesses or giant corporations, there are cloud computing implementation options for everyone. We’ll list a few below:
With the Ridge distributed cloud, businesses can take advantage of the flexibility of the cloud and the power of local data centers for cloud computing. Ridge Cloud uses a network of thoroughly-vetted data centers located across the world to provide businesses with a fast, flexible cloud platform. Whether it’s data compliance, low-latency, or a large network of devices, Ridge Cloud is built to address each use case for your business.
Geography is relevant in that it impacts major issues like latency, throughput, and compliance with regulations: Latency is affected by the distance between the data center and the end-user. Throughput is affected by how far, and through how many bottlenecks, the data needs to travel. Many countries enforce regulations relating to data privacy and data sovereignty, which can be a factor in determining where data is hosted.
Elastic cloud computing is a service designed for businesses that need to scale their compute capacity on demand. It allows developers to scale their cloud capacity up and down as needed, rather than pay for a set allotment via a contract.
Cloud infrastructure is generally considered more secure than private data centers as they employ dedicated staff whose sole function is to protect data. Cloud providers employ advanced hardware and software to isolate workloads and detect potential threats.
Providers charge on a per-use basis, and costs are variable, depending on the provider, the amount of data, services consumed, data center location, and other factors. For a company with existing on-premises IT infrastructure, they will need to consider the cost of transitioning their data to the cloud.
Unlike the previous shift towards centralized cloud computing management, modern cloud computing technology is beginning to make a shift back towards decentralization. By investing in distributed cloud computing, businesses can leverage local infrastructure and still reap the benefits of the cloud.