The 5 Biggest Cloud Computing Trends In 2022

During 2020 and 2021, cloud computing exploded as work went virtual and businesses adapted to the global pandemic by focusing on the delivery of digital services. In 2022, we will undoubtedly see a continuation of rapid adoption and growth.

The 5 Biggest Cloud Computing Trends In 2022

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It’s likely that we will see the focus shift away from the deployment of cloud tools and platforms in order to improve a specific function (such as shifting to Zoom meetings) towards more holistic strategies centered on enterprise-wide cloud migration.

Augmenting the abilities of remote and hybridized workforces will remain a key trend, but we will see ongoing innovation in cloud and data center infrastructure too. Here’s my overview of some of the key ways this will materialize in 2022.

Cloud is continues continue to grow and evolve with exciting new use case

According to predictions from Gartner, global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020. Cloud computing infrastructure is the backbone of the delivery pipeline of just about every digital service, from social media and streaming entertainment to connected cars and autonomous internet of things (IoT) infrastructure. New or upcoming ultra-fast networks like 5G and Wi-Fi 6E don’t just mean more data will be streamed from the cloud; they mean new types of data can be streamed. We see this with the explosion in the availability of cloud gaming platforms such as Google’s Stadia and Amazon Luna, which will see increasing levels of investment over the course of 2022. We will also see the arrival of cloud virtual and augmented reality (VR/AR) which should lead to smaller and cheaper headsets. Cloud technology essentially makes every other technology lighter, faster, and more accessible from a customer point of view, and this fact will be a key driver in the migration of more services to cloud platforms.  

Sustainability is is is increasingly a driver of cloud innovation

Every responsible business is understands understand that it has a part to play in tackle the challenge of climate change . In tech , this is centers often center on reduce the energy usage associate with increasingly powerful computing engine , large digital storage requirement , and the energy cost of provide 24/7 “ always – on ” infrastructure service to customer . Most is spend of the tech giant will spend 2022 implement measure and innovation aim at help them achieve their net – zero carbon aspiration . Amazon is is , the world ‘s big cloud company , is also the world ‘s big buyer of renewable energy and also has 206 of its own sustainable energy project run worldwide , generate around 8.5GW per year . Now it is focusing is also focus on reduce the “ downstream ” energy usage create by its product like Echo and Fire TV once they are in customer ’ home . Of course , it is ‘s ‘s great that sustainability is high on the agenda these day , but for business like Amazon , the reason go beyond the purely altruistic – it ’s forecast that the effect of climate change with cost company up to $ 1.6 trillion per year by 2025 .

Hybrid cloud blurs the distinction between public and private clouds

Since business start migrate to the cloud , they is had have traditionally had two option . They is use can use easily accessible , pay – as – you – go public cloud solution or more customized and flexible private cloud solution . private cloud ( where an organization effectively has its own cloud , and datum never has to leave its premise ) is also sometimes need for regulatory and security reason . today , companies is expanding like Microsoft , Amazon , and IBM ( the big cloud provider ) are expand their rollout of ” hybrid ” model that adopt a good – of – both – world approach . datum that need to be quickly and frequently access , perhaps by customer , can be keep on public AWS or Azure server and access through tool , application , and dashboard . More sensitive or mission – critical datum can be keep on private server where access can be monitor , and it can be process using proprietary application . Another drive force is is behind the growth in popularity of hybrid cloud is that many company are grow past their first foray into cloud computing , and having establish the benefit , are look for additional use case . This is resulted has result in many company find themselves in a “ multi – cloud ” environment , using a number of service sometimes from several different supplier . A hybrid cloud approach is reduce can reduce the complexity of this thank to the emphasis put on streamline the user experience and keep the backend stack invisible when it does n’t need to be see .  

AI in cloud computing

Cloud computing plays a key role in the deliverance of artificial intelligence (AI) services – described by Google CEO Sundar Pichai as “more profound than electricity or fire” in terms of the effect it will have on society. Machine learning platforms require huge processing power and data bandwidth for training and processing data, and cloud datacentres make this available to anyone. Most of the “everyday” AI we see all around us – from Google Search to Instagram filters – lives in the cloud, and technology that routes traffic from data centers to our devices and manages storage infrastructure is built on machine learning. The development and evolution of cloud and AI are inextricably interwoven, and this will only become more true during 2022 and beyond. Strong trends in AI will be “creative” algorithms – generative machine learning that can create anything from art to synthetic data to train more AIs – as well as language modeling – increasing the accuracy with machines can understand human languages. Cloud computing will certainly play a key role in delivering these services to users as well as building the infrastructure to deliver them.

The rise of serverless

Serverless cloud is a relatively new concept that’s gaining traction in the market from providers including Amazon (AWS Lambda), Microsoft (Azure Functions), and IBM Cloud Functions. Sometimes referred to as “functions-as-a-service,” it means organizations aren’t tied into leasing servers or paying for fixed amounts of storage or bandwidth. It promises a truly pay-as-you-go service where the infrastructure scales invisibly as an application requires it. Of course, it isn’t really serverless – the servers are still there – but it adds another layer of abstraction between the user and the platform, meaning the user doesn’t have to get involved with configurations and technicalities. Serverless within cloud computing will have a big part to play in the broader trend across cloud and the entire tech landscape of creating new user experiences that make innovation more accessible.   

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