Explore the Most Compelling Cloud Technology Trends Of 2022

Cloud-Computing-Trends-2022Cloud computing is one of those fast-moving industries Prior to the pandemic it was steadily increasing in popularity but since it has increased in popularity because of the forced shift to remote employment. Revenue from cloud computing is predicted to reach $474 billion in 2022, up from $408 billion in 2021.

By 2025, Gartner predicts that over 95% of new digital operations will be supplied on cloud-native systems, up from 30% in 2021. Enterprises will shift to a brand operating model as the business strategy evolves, requiring products to integrate into the whole value stream of the business.

Cloud Computing

Cloud computing is the delivery of computer services via the Internet, including analytics, databases, networking, servers, storage, software, and intelligence, to allow faster innovation, more flexible resources, and cost savings. Businesses can rent access to anything from apps to storage from a cloud service provider instead of having their own data centers.

Cloud computing allows businesses to avoid the upfront costs and complexity of creating and maintaining their own IT network by paying just for what they use, when they use the solution. As a result, cloud computing service providers obtain massive economies of scale by offering the same services to a wide range of customers. Cloud computing allows organizations to save money on storage, servers, and administration services because these services may be moved to the cloud for a low cost; thus allowing operations to run smoothly. The future of cloud computing in 2025 will pave the way for businesses to experience numerous benefits.

What are the top cloud technology trends of 2022?


AI in Cloud Computing

Cloud computing and AI are mutually beneficial, with the latter enabling cloud computing and the former facilitating AI delivery of services. Cloud computing also helps to democratize AI by allowing it to reach a broader audience. It provides small businesses with AI-assisted paid services as well as advanced machine learning features. By combining AI and cloud services, enterprises can get the most out of both technologies while reducing expenses. The cloud solutions aid AI in data management and insight generation, as well as enable continuous data backup and recovery in a virtual environment.      


Edge Computing

Edge computing is a type of cloud computing and data storage that is distinct from standard cloud computing. It’s a ground-breaking cloud idea that entails building localized data centers for computation and storage close to the point of collection, rather than hundreds of kilometers away. This type of distributed system architecture helps to reduce lag and improve the user experience. Data and resources can be dealt with locally because they are closer to the targeted computer, cutting costs for enterprises.

Despite the fact that the two are mutually beneficial, edge computing is frequently misunderstood as a threat to cloud computing. Edge computing is used to process time-sensitive data, whereas cloud computing is used to manage non-time-sensitive data. Edge computing is one of the trendiest topics right now, and it’s only going to grow in the coming year. It has obvious advantages in terms of enhanced data processing speed, low to no latency, superior connectivity, security, and privacy support, and smaller data transfer volumes. Edge computing will be an excellent tool for companies wanting to boost their operational efficiency.

Hybrid Cloud & Multi-Cloud Infrastructure

Instead of making trade-offs between methodologies, hybrid services focus on combining strengths. Public servers can be used to store data that needs to be accessed often, whilst private servers with limited access can be used to store more sensitive data. Businesses can get the perfect blend with a well-balanced hybrid technique. Most companies have advanced past the initial step of moving a portion of their workloads to a single cloud provider and are now ready to fully embrace the experience.

As a result, they must deal with multi-cloud setups that include services from a variety of vendors. Businesses may use the multi-cloud strategy to choose the cloud services that are most suited to their application environments, business needs, and availability requirements. In the future, more businesses will be expected to create cloud-native apps with less architectural dependency on a single cloud provider.

Kubernetes Enabling Blockchain

Blockchain is a revolutionary technology that enables a public or private network with a shared, tamper-proof digital ledger for recording data. It does not rely on a central authority to retain accurate transaction records. Kubernetes is an open-source container orchestration platform that automates the growth, deployment, and management of containerized infrastructure. Integrating blockchain technology for big data applications is problematic due to the present public blockchain infrastructure’s inability to scale in terms of enormous data storage and administration.

Incorporating blockchain technology for big data applications is difficult due to the present public blockchain infrastructure’s inability to scale in terms of enormous data storage and management. On the other hand, Kubernetes for blockchain enables rapid-scale environments and provides high availability by continually having numerous containers running for key services. The usage of blockchain on Kubernetes enables service interoperability between businesses with different architectures. Another advantage of implementing blockchain on Kubernetes is that it is easy to install and upgrade.

In a year or two, deploying blockchain networks and their components via Kubernetes clusters might become the industry norm, as it solves two major issues with blockchain: its intrinsic complexity and integration with current infrastructure.

Serverless Functions

In the realm of cloud computing, serverless computing has been around for a few years, which is a long time. All the key players in the cloud computing industry are putting more attention on it presently. Cloud migration provides a legitimate pay-as-you-go model that allows businesses to pay only for the services they use. This permits the infrastructure to grow invisibly in response to the demands of an application without requiring a large financial investment. Serverless computing also eliminates the risk of back-end failures and provides businesses with safe sandboxes in which to test their applications. Serverless computing in cloud computing will play a key part in offering novel user experiences in the next few years.

Wrapping Up

The cloud was one of the most successful technological developments a few years ago. It has turned into a trend that fosters innovation as well as a standard that provides greater flexibility and cost savings. Expect an increase in popularity as more and better features become available. The usage of cloud technology is projected to grow, so now is the best moment for enterprises to contact the best digital transformation consulting services to receive cost-effective cloud technology solutions that will help them enhance their business pitch in less time.

Author Bio

Madhu Kesavan, Founder & CEO of W2S Solutions, a leading digital transformation company in India with a dedicated team of software developers. He writes insightful articles covering contemporary technologies & trends.

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