How Cloud Computing Is Changing in the Near Future

Cloud computing will see some big interruptions when multi-cloud approaches, 5G, and containerization end.

When multi-cloud approaches, 5G and containerization end, cloud computing will see some big interruptions.

A recent survey by Virtuousness showed that 86% of companies turn to a multi-cloud solution. Multi-cloud approaches reached a new level of acceptance in 2018. Yet despite significant adoption, in 2019, the dominance of multi-cloud companies will likely continue to increase as businesses try to avoid vendor lock-in, allowing them to be agile in implementing the most appropriate cloud technology across different departments and functions.

While a multi-cloud solution provides the additional benefit of increasing ROI, the things that appeal most to businesses are improved efficiency and freedom. A multi-cloud approach allows companies to deploy a mix of cloud apps that suits their business needs, while technologies like Rubbernecks can simultaneously containerize and distribute apps across multiple cloud providers where appropriate.

The Shift From Automation to AI in the Cloud

The size and complexity of cloud implementations mean that IT managers now have to take care of where and how the cloud operates. As a result, the automation of security, resource management, and troubleshooting within the cloud has changed widely.

The next step, which is expected to take place in 2019, is to upgrade this process automation into true, adaptable artificial intelligence due to the fluid nature of cloud use. The emergence of a multi-cloud strategy has resulted in fewer static cloud approaches along with the fear of vendor lock-in, which means that companies will have to use adaptable process automation to manage multi-cloud infrastructure.

Concepts such as auto-healing are of undeniable importance to any cloud team, but without fully adaptable AIs, it is increasingly difficult for the cloud environment to stay in the evolving complexity.

Major Public Cloud Providers Will Differentiate

In some cases, 2019 will be the standard for major public cloud providers. In today's companies, the current infrastructure as a service model is well established, and providers welcome any novel technology that drives CPU and RAM consumption.

Nevertheless, with multi-cloud becoming the rule, major players must more than ever prove their worth to the IT strategy of an organization. To do this, major cloud providers try to differentiate themselves on the basis of their strengths. For example, Google is likely to focus on its AI credentials, while Microsoft is expected to reduce its migration loads.

Such distinction is critical for incumbents, as it can be the year in which many public cloud players are increasingly pressurized. The purchase of IBM Red Hat reflects increased cloud competition as businesses outside the U.S. continue to improve their local capabilities with an aim to grow globally.

Businesses Will Seek to Manage Containers at Scale

Almost uniformly, organizations have understood the containerization benefit. In 2019, the goal is to move beyond the early adoption of containers to handle broader deployments.

For larger vendors pursuing the development and distinction of their own goods, smaller niche players are expected to gain their expertise.

In general, we will see that the computing world is still fragmented, which enhances competition between cloud providers. Technologies such as serverless computing are expected to play a growing role in 2019.

In addition, open-source serverless technologies will possibly start to compete for wide acceptance in the developer community to shape the future of the technology ecosystem in the future.

Challenges Remain for Cloud Deployments

There are still challenges for companies trying to implement the cloud effectively, particularly as complexity increases. It seems likely that the trend to create Lego-like building blocks to help standardize and make cloud stacks more orderly will continue, especially as businesses realize the value of an ongoing cloud-innovation approach.

To order to reduce delays with each new implementation as development teams try to adjust software, organizations can try to tap open-source technologies. The business advantages of this strategy are also evident since it helps teams to recognize efficiency improvements more quickly when integrating software.

Are We Still on the Edge of Hype and Reality?

Edge computing is off. Given the increasing number of cloud-connected devices, ongoing technology tests, and 5 G development, it is anticipated that more maturing edge implementations will be made in 2019. With its increased efficiency compared to 4 G, the new 5 G technology will be one of the main driving forces for use.

This allows companies to grasp and implement data collected at the edge in almost real-time. Multimedia rates per second and a 1-millisecond delay also mean that more data can be farmed and used in larger, crowd-sourced information than ever before.

While edge computing will be one of the most distinguishing innovations for a fully connected world, proof of concept will be a key factor in demanding better solutions from cloud providers to ensure the edge is effective and viable at a financial level before it starts revolutionizing the likes of wearable, cities, and robots.

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