2018 Cloud Computing Trends
Cloud computing trends continue to evolve. As part of the broader Information and Communications Technology (ICT) picture, use of cloud-based technology is an asset for companies worldwide. The cloud continues to enhance competitiveness and has transformed business operations – from logistics and finance to customer relations and human resources.
What Is ‘The Cloud?’
The cloud is technology which offers resources, processing power, data storage, application software, backup facilities, development tools and more, in the form of services accessible through the Internet.
Cloud computing has transformed business processes both nationally and across international emerging markets. Today, 50 percent of ICT is based in the cloud.
This shift assists growing markets surpass expensive technology barriers, while rapidly increasing workplace productivity and growth. This makes the cloud an optimal environment for many developing markets. Although cloud service usage is still in its infancy in many flourishing markets, the mass adoption of the cloud is likely to become prevalent.
This cloud shift by a range of organizations, has resulted in the requirement of providers to invest in cloud infrastructure and data center related offerings, such as security and management services. Cloud computing continues to grow and its trends are likely to transform the IT landscape.
IT Consumerization Driving Cloud Computing Trends
Today, most internet users reap the rewards of two major fields; consumer website development and mobile device manufacturing. Expectations for seamless user experiences have increased in both these areas.
As mobile devices expand their power, reach, and sophistication, users are constantly trying to streamline native application experiences, automatic interfaces, and consistent data availability.
Furthermore, phones have centralized peoples’ online lives. Advanced social apps have proliferated BYOD culture, where support from multiple platforms is expected. Consumer websites like Facebook and Twitter, are building mobile elegance and interactivity, due to advancements in front-end languages.
Many popular consumer sites also have mobile apps that offer on-the-go access. Even the most successful IT departments are trying to adapt properly.
These user expectations are responsible for cloud popularity, due to browser-delivered flexibility. Various cloud apps offer multiple operating systems and mobile devices, compared to on-site solutions that have lesser compatibility.
Cloud applications also benefit from similar front-end programming developments, such as consumer applications. This means they have finer interfaces that are easier to update than their on-site counterparts.
Moreover, most cloud solutions have companion mobile apps. These offer secure access to the native experience users look for. From a support point of view, native apps allow IT departments to deal with today’s BYOD climate, by assigning compatibility and data security to providers.
Machine Learning (ML) And Artificial Intelligence (AI)
Machine learning is moving into the cloud space and has become so user-friendly, that developers can integrate it into cloud-hosted applications. A Gartner report says advanced machine learning technologies will play an important role in the tech space in the coming ten years.
Machine learning offers radical computational power, data in bulk, and unparalleled advances in deep neural networks. These all help enterprises with smart machine technologies to access data, align with new situations and solve other data issues.
Machine learning generates enough information to stop anomalous action and deliver automated security operations. Deep learning is important because it helps in the practical application of Machine Learning and Artificial Intelligence. Deep Learning divides tasks so that all types of machine assistance become possible.
Now, neural networks and advanced predictive algorithms are easy to create at a much lower cost. Security analytics engines consume data from network gear in search of anomalies that point out threats. By fixing a baseline for normal, these engines detect unusual behaviors and track any malicious activity.
With the improvement of these platforms, they will be able to detect attacks in earlier stages and prevent them before they turn into active breaches.
Software And Hardware Will Stay Away
John Manley is a Director of HP’s Automated Infrastructure Lab. He says that in the future, software and hardware will stay away from each other, with various technologies consumed as a service; “cloud computing is the end means by which computing will be invisible,” he says.
Even back in 2012, David Merrill, Chief Economist of Hitachi Data Systems said due to this, by 2020, if you were to ask a CIO to describe their infrastructure, they wouldn’t be able to. “He might say ‘here are my service providers’,” he says, but drawing a diagram would be difficult.
This will happen because cloud computing trends show that it will be an “extremely abstracted space,” where software is written differently so that it passes through various filters before it works with hardware. This means that front-end applications or applications developed on top of a platform-as-a-service, are likely to be hardware agnostic.
Bottom line: cloud computing trends will continue to help you benefit from improved security, cost-savings and cloud monitoring services.
Therefore, businesses of any size – big or small – will continue to engage, develop, and integrate services on the cloud. Azure training can help you to understand the cloud from the ground up and make the most of it.