In this series’ previous episode covered the worldwide trends and possibilities – Future of cloud computing – Part I and Future of cloud computing – Part II.
Now lets take a journey from the data center, to the cloud, to the edge.
The majority of businesses already use cloud computing on a regular basis. 81 percent of businesses with 1,000 employees or more have a multi-platform strategy, according to a RightScale survey. That percentage is anticipated to increase to almost 90% by 2024. Global spending on public cloud services is anticipated to increase by 73 percent between 2018 and 2021, from $160 billion to $277 billion.
Because the cloud provides the agility needed to compete in a quickly evolving and fast-paced customer environment, businesses are migrating to it. The cloud helps standardize and simplify security management while saving businesses money by reducing the cost of maintaining their own internal systems. It also encourages creativity by making it simpler to develop and modify apps on the fly.
According to statistics from analysis firms, cloud computing will continue to develop over the coming years as a component of a stack that also includes edge computing, or processing close to the point of data ingestion, and the Internet of Things (IoT). By 2025, according to Gartner, 75% of enterprise-generated data will be produced and handled outside of a conventional, centralized data center or cloud. Additionally, according to IDC, by 2022, 25% of endpoint devices will run AI algorithms and more than 40% of enterprises’ cloud deployments will contain edge computing.
When used to its full potential, cloud computing enables companies to concentrate on performance as directly as possible, with the least amount of fuss or disruption. When highly scalable and flexible computing technology fuses with current technology and processes, new benefits built upon the foundation of cloud computing — agility, mobility, flexibility, and security — emerge (whether on-premises or in the cloud). The goal is to complete the computation in the manner that you desire in order to go forward.
These include the ongoing innovation of agile programming, the “launch and learn” tenets of continuous integration and delivery (CI/CD), and the proliferation of open-source software in the field of software development (a faster and more responsive version of the standards bodies and years-apart release cycles that used to be industry norms).
For continuous learning and modification in data collecting and analysis, streaming data is being fed into already-in-use machine learning systems (see sidebar, “Streaming insights to feed the world”).
As we enter this new era, we must change our ways of functioning to one that relies on constant flow. Products are constantly updated and improved; they are never “done.” Security is a continuous practice rather than a linear procedure based on static events. Not only is data analysis quicker now, but it is also ongoing and iterative. In any IT context, the promise of cloud computing implies a completely new way of thinking and working, not just a faster, more effective version of what we already did.
Therefore, it makes sense that this has a social influence that is made possible by technology, both internally and with clients.
Based in Colorado, Maria Davis is best known for her contributions to media marketing, translation and writing. She is currently working as a CX Manager for Routeget Technologies. She entered the writing world to explore her passion for contrastive linguistics, adaptation and lexicography. Ava also enjoys skiing, social media management and vegan parties.
Based in Colorado, Maria Davis is best known for her contributions to media marketing, translation and writing. She is currently working as a CX Manager for Routeget Technologies. She entered the writing world to explore her passion for contrastive linguistics, adaptation and lexicography. Ava also enjoys skiing, social media management and vegan parties.
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