It’s no longer a secret that the cloud computing revolution has helped businesses achieve many things, most of which could not be attained through the traditional server systems. In the process, many on-premise software platforms have died a natural death leading to the rise of other cloud-based platforms such as Office 365 and Google Docs, among others. These cloud-based software systems have successfully sent the local word processors towards extinction, something that no one ever thought of a decade ago. Storage-as-a-service has replaced data servers used to fill server rooms in organizations’ back offices, while virtual machines have supplanted the on-premise app servers. With the rising adoption of the cloud, server consolidation has gained popularity. It is a way of making use of efficient hardware and software resources to save costs, considering the fact that many servers are often under-utilized.

The efficiency of a business operation is crucial for productivity. However, the out-of-date systems that many organizations employ are sometimes the leading hindrance to performance and business productivity. However, cloud computing is an excellent way of improving and streamlining business operations by enabling staff to share documents and collaborate over the internet. Despite the usefulness of the cloud, how the enthusiasts think about the performance of the cloud and how they measure its ability is often wrong.

For companies across the globe, the COVID-19 pandemic dramatically changed the way teams interact and collaborate. Some companies had remote-work contingency plans in place, and a handful already fully supported remote work. However, very few could have expected the need to have 100% of their teams start working from home overnight.

One of the greatest benefits of cloud computing is how it has leveled the playing field regarding the use of cutting-edge technology. High-powered applications and computing methodologies that were at one time out of the reach of the average company or user can be accessed economically using the resources of public cloud providers. Quantum computing is joining other technologies like artificial intelligence (AI) and machine learning (ML) as a cloud offering that anyone can use.