cloud computing trends 2020

Cloud computing is one of those dynamic industries that is always on the hotfoot to grow. Because it develops at breakneck speed, keeping track of everything that is changing is not a piece of cake. However, certain trends are seen as more dominant than and a cut above the rest. These very trends are now being predicted to shape the market and ultimately define the bandwagon in cloud computing. The technologies they warrant might evolve; the vendors they attract might change. But, these trends will eventually be part of and even catalyze the standardization and acclimatization the tech sector is currently moving into. The latter has come of age with its infrastructure becoming more and more mobile. Portability of workloads and data streams is the focus right now. According to International Data Corporation (IDC), By 2022, more than 90% of enterprises in the globe will be using hybrid cloud solutions model. Top Cloud Computing Trends to Watch in 2022 Let us check out which cloud computing trends are ruling in 2022. Omni-Cloud Instead of Multi-Cloud Using multiple cloud computing services under a heterogeneous architecture is now an old story. As more and more businesses have started migrating to multiple Infrastructure-as-a-Service providers, the following demands arise: Application portability Easy procurement of compute cycles in real time Streamlined connectivity in data integration platforms Cross platform alliances by vendors As a result, multi-cloud is transforming more into omni-cloud with the architecture becoming homogenous. For instance, if a company has a gazillion businesses under its hood, adopting omni-cloud computing services could give it a sharper competitive edge. This company can directly procure cloud services from hyperscalers and niche providers, thus leveraging the advantages offered by differentiated services, without any vendor lock-in or high switching cost. Serverless Computing This one is being hailed as an evolutionary part of modern-day cloud computing. It is rising in popularity. However, very few enterprises have implemented it in reality. Technically, Serverless Computing is not devoid of servers. The applications still run on them. But, the cloud provider is responsible for managing the code execution only. Likewise, the customer need to pay only when the code runs and never for fixed bandwidth or servers. Its pay-as-you-go format is what makes it a trendsetter. In a way, Serverless Computing services are capable of auto-scaling in response to demand. Thus, the enterprises implementing it can do away with provisioning and maintenance when the code is being produced. This is a major improvement in the world of cloud computing, challenging the paradigm of technology innovation and restructuring the infrastructure. Quantum Computing Technology is always evolving and absolutely futuristic. Needless to say, the performance of computers is also always expected to improve with the passage of time. This is where Quantum Computing comes into play. Hardware development using superposition, entanglement and similar quantum-mechanical phenomena is the key to robust computers. With the help of Quantum Computing, computers and servers can be built to process information at jet speed. Let us also remember cloud computing warrants fast network systems that still face backlogs. This is why in the future it will still remain as valid as it is now. Cloud to Edge We are talking about Edge Computing here. Cloud computing and centralized data bring in the needs to run physical servers in large numbers. The distributed infrastructure of them has numerous advantages when it come to large-scale data analytics and processing. However, for enterprises that need to access data or computing powers immediately, Edge Computing is a better option. Every unit in an Edge Computing paradigm has its own computing, networking, and storage systems. Together, they manage the following functions: Network switching Load balancing Routing Security The integrity of the systems and their operations warrant information processing from varied sources, turning each of them into a focal point of data. Because it is a computing paradigm that allows computing at or near the data source, response time is quick and bandwidth usage is low. Further, the infrastructure is distributed and more stable. Hi from Enterprise AI Putting Machine Learning into SaaS, analytics, IT operations, and Business Intelligence products is the newest trend. Besides the advantages of using Artificial Intelligence, cloud providers are also willing to capitalize on the popularity of the term. This is why in 2020, you will find enterprise AI being increasingly incorporated into chatbots, inference engines, and whatever involves predictive analytics. Also, the AI applications would not just be consumer-facing. In fact, enterprises seem to be planning some kind of 360-degree strategy where the technology can be implemented across the entire organization. Digital Natives We are discussing the workforce here that increasingly becoming digitized. These people are already literate when it comes to the cloud, its applications and benefits. Their way of thinking and communicating is different. They are the ones who would ditch emails and ‘WhatsApp’ instead. Now here is the challenge: the older generation of workers might need reverse monitoring, training, and guidance when it comes to these modern means of communication. To that end, businesses might need to bridge the gap between rapidly evolving technology and the Cloud Computing they have implemented so the two workgroups with stark contrasts can work together. Containerization When it comes to managing and moving software code, containers come in handy. Containerization is something that has remained a trend in Cloud Computing over the years and has not changed a bit. Businesses use and upgrade the same to simplify portability between Cloud services from Microsoft Azure, AWS, and Google Cloud. This ensures quicker production of software using DevOps strategies. According to Forrester, one in every three organizations tests containers for production. Also, according to 451 Research, the Container market will grow at an annual rate of 40% and reach $2.7 in 2020. Additionally, Cloud Foundry says 53% of organizations will use or at least investigate using containers in development. Mobile Cloud Computing Mobile Cloud Computing (MCC) is all about building, hosting, and operating mobile applications via Cloud Computing. This is a very