What Will Change In Cloud Technologies In The Next 5 Years?

2020 is the year when you can say: “The future is already here.” It began to come thanks to the growing popularity of AI, blockchain, Internet of things and, of course, cloud technologies. According to IDC, only spending on cloud services will increase by a third over the next 5 years. In the article, we talk about which of the cloud technologies will explode.

Trend # 1: Hybrid Cloud Development

Hybrid Cloud, or hybrid cloud, is a combination of two or more unique Cloud Technologies systems of any format, both private and public. The systems continue to operate independently of each other, but thanks to hybrid technology, they are able to exchange information and applications. As a result, on the one hand, we reduce costs due to scale, and on the other, we ensure reliable data confidentiality.

According to analyst firm Gartner, in 2020 about 3/4 of all companies are migrating to the cloud model of work: multi- or hybrid. And until 2023, the hybrid cloud market will grow by 17% annually. This is absolutely natural – the growth of hybrid technologies has already been noticeable in the last couple of years. Everything is logical: why pay for the cost of your own hardware, and even a sysadmin who would be involved in its maintenance, if you can transfer everything to the Cloud Technologies. And so that the speed of access and usability does not fall, you can conclude a quality-of-service agreement (SLA) with the cloud system.

Trend 2. Artificial intelligence

In 2020, AI will be used much more often in the Cloud Technologies. It is ideal for dealing with problems before they arise. Evaluate the template you want when a server crashes or save energy – AI is always ready. Artificial Intelligence helps data centers learn by analyzing information from the past so that during the most intense periods, data centers distribute the load as efficiently as possible.

Artificial intelligence also helps companies that face a skill-deficit. Gartner predicts that by 2020, 75% of companies will have business problems due to lack of skills and errors in infrastructure. AI will be able to take over the automation and solution of the many tasks for which humans are responsible today. Moreover, Gartner claims that already this year, a third of data centers that are not able to use AI in their work will become economically unprofitable. All AI-powered services will run and be stored in the cloud.

Artificial intelligence is no longer a toy, but the reality around us. It is likely that soon we will be communicating more with robots than with humans. Gartner’s 2025 Forecast – AI will affect everything from social media to medicine and cybersecurity and generate more than $ 48 billion in revenue. Smart image recognition technology alone will bring in 8 billion.

Trend 3. Containers

“Create once – use as much as you want.” The operating principle of containers is very interesting to many companies. According to Gartner analytics, by 2023 about 3/4 of organizations will use at least two container-based applications, which is 1.5 times more than in 2019. IDC predicts 95% of new services deployed in containers by 2021.

Thanks to containers, deployment and management becomes more convenient and easier. Eases the challenges of the Hybrid Cloud Technologies. In the very near future, these two technologies will develop explosively and rapidly.

In 2020, the development process using containers will be the standard for both large and micro projects. Already, almost all of our projects use the power of DevOps engineers and use Kubernetes-based containerization.

This helps make more applications more efficient, easier to scale, and faster development. Containers also increase security, since each container runs independently.

Cloud Technologies Trend 4. Creating and storing data in Edge

Edge Computing technology can be called the processes of remote observation and work with information on objects from the Internet of things. It seems to be something new, but in fact the essence of Edge Computing can be traced in our phones and tablets, in automated workshops and modern robots, in analytics systems – all these are examples of micro-operations “on the ground”.

According to forecasts of Cisco, by 2020 the number of devices connected to the Internet will be three times more than the world’s population. Gartner data foreshadows 25 billion connected devices by 2021. This is a colossal amount of information.

McKinsey says the number of gadgets connected to the network is increasing by 127 every second. Many firms are talking about the need for processing centers for all this information, which would like to be located closest to the devices that create information. Gartner predicts that by 2025, 3/4 of all generated information will be generated and stored on the edge. Analytics from IDC said that by 2020, about 40% of companies will double their IT development costs in edge locations.

This is a predictable phenomenon. In big cities, tens of thousands of street cameras recognize license plates of cars and people’s faces. Why transfer terabytes of raw data somewhere else when the microcomputer in the camera can process it and extract what is needed? And already clean data about identified machines or persons will be sent to the data center.

The integration of Edge into everyday life is in full swing. For example, fishing vessels do not have a permanent connection with the mainland, and a server rack is used to analyze the catch from photographs and videos on the ship. We drive smart cars, live in smart homes, and our production facilities are automated as much as possible. All of this uses Edge calculations. There are even services for remote installation of code on such servers (as an example – Greengrass from Amazon).

Trend 5. Demand for disaster recovery of data

Or, in other words, DRaaS (Disaster Recovery) services. DRaaS-service keeps backups of data and applications both on Cloud Technologies and on local storages. As a result, DRaaS guarantees the resiliency of your project: even in the event of a breakdown, the organization’s business services remain operational.

In addition, DRaaS transfers your project to a disaster recovery plan while your work environment is being recovered using DRP (disaster recovery plan). It is very convenient to use DRaaS after a failure to migrate back to your recovered machine: DRaaS will automatically start replication to avoid the following failures.

The more companies go online, the higher the cost of downtime becomes. According to IBM, the average market value of compromised business data hovers around $ 4 million. Gartner claims that a minute of downtime in IT systems costs $ 5,600. Of course, each time the price depends on the company’s business. For an online retailer, the losses can be dire, as downtime is a lack of sales.

It is worth noting that there are regulatory documents (for example, GDPR) that oblige companies to carefully and carefully store user data. These documents provide for a disaster recovery plan. That is why the demand for DRaaS services will grow, as they significantly reduce downtime. IDC predicts the DRaaS market will grow to $ 4.5 billion by 2020 and 15.4% by 2023.

When working with information, there is a sad addiction: the more data, the more it will cost you to lose it. Numerous cases show that for small and medium-sized businesses, the loss can turn into a closure, since they simply cannot recover anything.

Trend 6. Use of hyperconverged infrastructure

HCI (hyper converged infrastructure) virtualizes all parts of classic hardware systems. Hyper-converged infrastructure includes virtualized networks and computing, as well as a virtual Storage Area Network.

Hyperconverged infrastructure is best known for its unified control and monitoring system, with parallel scalability changes. According to Gartner’s predictions, by 2020, about 20% of all applications most significant for companies, which are today launched on a classic 3-tier infrastructure, will migrate to HCI.

Analysts from Mordor Intelligence predict that the HCI market will grow by 13% annually until 2024. Increasingly, HCI systems are being chosen as a more practical analogue of standard cloud solutions. There are 2 reasons for this: 1) they are simple and understandable to manage; 2) they reduce costs compared to conventional data centers.

With HCI, you deploy your application faster. In the past, to launch a project, you bought or rented servers, installed and configured the necessary environment on them. With modern technologies such as Kubernetes, it is possible to use meta-entities that work flexibly, adding virtual machines. And most importantly, all this is controlled and managed centrally.

Trend 7. Growth of Hyperscale data centers

Today is the period of instant consumption. Many organizations already lack the performance that classic systems provide. Companies need a well-developed infrastructure. On the one hand, it should be able to expand instantly – when demand grows. On the other hand, scale down in parallel with decreasing demand.

Markets & Markets predicts the Hyperscale data center space will be worth $ 80.65 billion by 2020 (up from $ 25.08 billion in 2017). Cisco believes that traffic inside these data centers will quadruple by 2021 and begin to account for 55% of the share of all traffic that goes to data centers. Thanks to the modularity of the Hyperscale Centers, organizations have never-before-seen flexibility in rescaling at the physical level: any modules can be included or excluded without affecting other components.

Take care of the future of your product

The Evrone team will be happy to help you understand how modern cloud technologies can be incorporated into a business to make it not only efficient, but also secure. If you want your business to develop successfully in 2020, contact us and find out what will be useful for your product.

“ AI will inevitably turn from a popular and expensive toy to a useful tool. Machine learning, being a subset of AI, can evolve into self-learning machines. Evrone is already using AI and ML as well as cloud technologies, even on relatively small projects.

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