Cloud computing would continue its progression as a huge catalyst for digital transformation throughout the enterprise. What we didn’t expect was a worldwide health crisis that led to an enormous jump in cloud usage.(Cloud Shift)
Cloud Shift will change IT in 2021!
Cloud megadeals have heralded a replacement era where the cloud may be a key driver in how organizations deploy operating models and platforms. in only the past 6 months, we saw 6 years’ worth of changes within the way businesses are run. There has been a drastic shift to remote work – with the share of workers using desktop services within the cloud skyrocketing. Gallup estimates that as of September, nearly 40% of full-time employees were working entirely from home, compared to 4% before the crisis. (Cloud Shift)
We are seeing renewed interest in workload migration to public cloud or hybrid environments. Gartner forecasts that annual spending on cloud system infrastructure services will grow from $44 billion in 2019 to $81 billion by 2022. In light of those underlying changes within the business landscape, here are some key cloud trends which will reshape IT in 2021. (Cloud Shift)
Remote working continues to drive cloud and security services:
The year 2020 saw an enormous expansion of services available within the public cloud to support remote workers. Big improvements in available CPUs means remote workers can have access to high-end graphics capabilities to perform processing-intense tasks like visual renderings or complex engineering work. And as worker access to corporate networks increases, the cloud is an optimal platform for a Zero Trust approach to security, which needs verification of all identities trying to attach to systems before access are often granted (Cloud Shift).
Latest system-on-a-chip technology will support cloud adoption:
The introduction of the Apple M1 in November marked the start of an era of computing where essentially the entire computing system resides on one chip, which delivers incredible cost savings. Apple’s Arm-based system on a chip represents a radical transformation far away from traditional Intel x86 architectures. In 2020, Amazon Web Services also launched Graviton2, supported 64-bit Arm architecture, a processer that Amazon says provides up to a 40% improvement in price-performance for a spread of cloud workloads, compared to current x86-based instances. These advancements will help enterprises migrate to the cloud more easily with a compelling price-to-performance story to justify the move.(Cloud Shift)
Move to serverless computing will expand cloud skills:
More than ever, companies are retooling their operating models to adopt serverless computing and letting cloud providers run the servers, prompting enormous changes within the way they operate, provide security, develop, test and deploy. As serverless computing grows, IT personnel can quickly learn and apply serverless development techniques, which can help expand cloud skills across the industry. Today’s developers often prefer a serverless environment in order that they can spend less time provisioning hardware and longer coding. While many enterprises are challenged with the financial management aspects of predicting consumption during a serverless environment, cost optimization services can play a key role in overcoming these risks.(Cloud Shift)
Machine learning and AI workloads will expand within the public cloud:
As a broad range of useful tools becomes available, the power to work machine learning and AI during a public cloud environment – and integrate them into application development at a coffee cost – is moving forward very quickly. For example, highly specialized processors, like Google’s TPU and AWS Trainium, can manage the unique characteristics of AI and machine learning workloads within the cloud. These chips can dramatically decrease the value of computing while delivering better performance. Adoption will grow as organizations find out the way to leverage them effectively.(Cloud Shift)
More data will move to the cloud:
Data gravity is that the concept large masses of knowledge exert a sort of gravitational pull within IT systems and attract applications, services and even other data. Public cloud providers invite free data import, but data export carries a charge. This is prompting enterprises to create architectures that optimize for not paying that egress charge, which suggests pushing workloads and their data to reside during a single cloud, instead of multi-cloud environments. Data usage within the cloud can eventually amass enough gravity to extend the value and consumption of cloud services.
However, as cloud technology continues to mature, organizations shouldn’t be afraid to duplicate data within the cloud – that’s, it’s perfectly fine to possess data in several formats within the cloud. A key goal is to possess your data optimized for the way you access it, and therefore the cloud allows you to try to do that.(Cloud Shift)
The journey continues
So because the world around us changed in unprecedented ways in 2020, cloud computing continued its march to enterprise ubiquity and maybe a key layer of the Enterprise Technology Stack. Yet, by most measures, the cloud remains only something like 5 to 10% of IT, so there’s still tons of room to grow. Getting the foremost out of cloud technology going forward isn’t a 5-year journey; it’s going to take a few years to really tap into its full potential.
The shift in operational models and therefore the organizational change needed to completely embrace cloud computing is critical. it’s not a minor task to undergo that transformation journey. In early 2022, we’ll most certainly reminisce and be amazed again at how far the cloud has progressed in one year. (Cloud Shift)