With the outbreak of the pandemic, the world has changed in many ways, work has become more virtual, enterprises have adapted to new conditions and focused on the provision of digital services. As a result, cloud computing has grown significantly over the past 2 years and will continue to grow in 2022.
The emphasis is likely to shift from deploying cloud-based tools and platforms to more holistic strategies focused on cloud migration across the enterprise. As always, empowering the remote and hybrid workforce will be a priority.
New use cases
In 2020, global cloud spending was $313 billion. Gartner predicts spending in 2022 will amount to $482 billion. The core of the delivery process for any digital service (social media, streaming, connected car, IoT, etc.) is cloud computing infrastructure. Ultra-fast networks (5G and WI-Fi 6E), in addition to transferring even more data from the cloud, will transfer new types of data. The advent of cloud-based virtual reality (VR / AR) will drive headsets down in size and cost. Cloud technologies make other technologies faster, easier and more accessible to the user. This is a key factor in the services transition to cloud platforms.
Environmental safety is becoming a driving factor in the development of cloud services
Significant climate changes are now taking place. Every responsible company must take part in solving environmental problems. Often in the field of technology, this comes down to reducing energy consumption, what is associated with high requirements for digital storage, providing users with round-the-clock services, and more powerful processors. In 2022, tech giants plan to invest in solving such problems.
Hybrid cloud blurs the line between public and private clouds
Traditionally, companies moving to the cloud have had 2 options: a public or private cloud solution. The latter is characterized by the possibility of more flexible customization, the organization has practically its own separate cloud, information from which should not go beyond its scope. In some cases, such a decision takes place. However, major cloud providers Microsoft, IBM, Amazon are developing and promoting hybrid models using the best of the 2 options. In this case, data frequently used by users (for example, by customers) can be stored on public servers, which can be accessed using applications, dashboards. Private servers can store sensitive and sensitive information. Access to this data can be completely controlled and processed through a dedicated application.
Now many companies are trying to master cloud computing, which has become another reason for the popularity of hybrid cloud. Companies understand the full benefits of the cloud and are looking for additional use cases. For many companies, this has led to a «multi-cloud environment» using a range of services from multiple providers. The hybrid cloud option can simplify this process by optimizing the user experience.
Artificial Intelligence in Cloud Computing
Cloud computing plays a key role in the delivery of Artificial Intelligence services. The need for machine learning platforms for large computing power and data throughput for training and processing can be covered by cloud data centers. Every day we come across AI services (Google search, Instagram filters etc.) that are in the cloud. The technology that distributes traffic from the data processing and storage center to user devices is based on Machine Learning. The development of AI and cloud computing is connected and will become more relevant in the coming years.
Now, a new concept is gaining momentum in the market – a serverless cloud. The main suppliers are companies such as Microsoft (Azure Function), IBM Cloud Function, Amazon (AWS Lambda). This concept is that companies are not tied to renting servers and paying for a certain amount of storage. You pay as you go, and the infrastructure scales as the application demands it. The server certainly exists. However, another layer is added between the user and the platform, which allows the user not to touch the settings and technical details.