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DATA CENTER OF TOMORROW: TOP TECHNOLOGICAL TRENDS

DATA CENTER OF TOMORROW: TOP TECHNOLOGICAL TRENDS

How will be the data center of the future?

IDC, the popular analytics firm, has identified the technological trends that will distinguish data centers of the future. Since ten years ago, data centers’ world is going through an extraordinary transformation, influenced by advanced technologies such as Cloud and Edge Computing, Artificial Intelligence and Machine Learning. Data centers of tomorrow will be increasingly agile, distributed and automated infrastructures, capable to guarantee the services requested with superior performance and efficiency compared to traditional data centers. The paradigm shift comes in part from new business applications that request a different infrastructure management, in part from the need of keep supporting the legacy world.

data center futuro

There will be a sort of middle layer between core and edge: her’s where IDC places data centers of tomorrow. Traditional facilities must evolve according to the new logic of technology: proximity to users and to the Internet of Things is an essential aspect to approach and manage the ever-growing amount of data created every day. Now we will see the top technological trends of data center of the future according to the experts researches.

Turnaround in Data Centers facilities

There will be a radical change for what regards in-house data center facilities. Until now companies have been focusing on the development of big data centers, while with the digital transformation they will invest more and more on smaller centers, located at strategic points to better respond in terms of latency. IDC predicts that during the current year 25% of firms will abandon the consolidation of large data centers in favour of smaller and better placed buildings.

Edge Computing & smart gateway

Edge computing will be an essential element in data centers of the future, because it puts data close to users ad allows to use advanced technologies such as Internet of Things and Artificial Intelligence, that request superior computing power. In this connection, it must be emphasized the importance of IoT gateways, able to collect edge data and to connect them to other networks and data centers. IoT devices are a precious tool for the entire monitoring process and also as concerned the management of possible computing and storage problems. Data centers will become once again the point of reference for edge computing infrastructures, whic will send to dc the information collected in the first instance and will get back from dc the processed data, and must, moreover, provide data protection.

Increase of Data Vaulting strategies

IDC predict that in 2020 40% of firms will use a data vaulting strategy to manage the proliferation of information, by using intermediate data storage centers managed by colocators, without having to build new facilities. Companies can access to those sites through pay-per-use packages including space, connectivity, security and storage, where they can start processes to cleanup and manage the stored data. This way firms can exchange data among cloud data centers, data vault and edge sites.

Automation: Machine Learning & Artificial Intelligence

What is described above means a greater fragmentation, which will bring to an increased use of advanced technologies to optimize the infrastructural management of data centers, data vault and edge networks. In particular, Artificial Intelligence and Machine Learning will affect the operations bringing a superior level of automation which will ensure higher resilience and performance. IDC predicts that within 2022 50% of IT assets of business data centers will operate autonomously thanks to AI technology. A trend that will become more relevant in edge sites, where the human presence will be limited or even absent.

Consolidation of Multi-Cloud environments

Multi-cloud strategies will be further increased. That because from each Cloud environment shall be possible provide custom services according to the client’s needs. Only this way data centers of tomorrow can respond properly to the market demand by ensuring the flexibility and agility requested.

 
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6 CLOUD TRENDS TO PREPARE FOR 2019

6 CLOUD TRENDS TO PREPARE FOR 2019

In the last decade the Cloud played a leading role in the IT scenario, by increasingly contributing to the technological innovation of businesses and the corporate IT transformation. If at the beginning many were skeptical about moving their processes and applications to the Cloud, now the use of Cloud Computing services appears to be a standard. According to the statistics of Osservatorio Cloud Transformation of School of Management of Milan Politecnico, 82% of medium-large enterprises in Italy uses at least a Public Cloud service. The data show that the companies made the Cloud an integral part of their IT strategy: 25% consider it the favourite solution for new projects, 6% even the only choice. But the Cloud has still a lot to give to business. Trends about the new year confirm it widely, by highlighting the technological issues and opportunities of innovation for enterprises connected to the adoption of the latest Cloud solutions.

1. Multi-Cloud approach: 2018 vs 2019
If 2018 was the year when Multi-Cloud become mainstream, 2019 is the year when Multi-Cloud strategies grow. The use of Multi-Cloud approach by firms will be soon a “must have” to get a competitive advantage and being up-to-date with the market. But let’s back up. What does Multi-Cloud mean? That solution doesn’t use just one Cloud model, for instance Public Cloud or private Cloud, but uses different services and eventually different providers, according to the specific business needs. The future is focused on applications and users demand speed and high performances. A standard solution can’t no longer meet those challenges and each company needs its own custom Cloud ecosystem.

2. 80% of processes move to Cloud
As said above, until recently the scepticism about migration of Information Systems to Cloud was very strong. The reasons for it were a lack of confidence about the security of data and processes and the traditional resistance to change. Nowadays, data show that in the following years 80% of business processes will move to the Cloud, but not only that. Studies say that there is another trend connected to the Cloud migration. Indeed, many companies refactoring their on-premise infrastructures to move them easily to Cloud-native environments.

3. Artificial Intelligence in embedded systems
Artificial Intelligence starts to be embedded in all next-gen applications, by improving systems and processes efficiency. Thanks to the large amount of data at our disposal and the growth of Artificial intelligence’s use to analyze them, is estimated that the businesses productivity will be increased a lot. Together with A.I., other emerging technologies are increasingly growing and help to improve the flexibility and efficiency of systems, like machine learning, serverless computing and augmented reality.

4. 70% of IT functions will be automated
In 2019 automation becomes a keyword. 70% of IT functions will be automated as well as the most of customer care activities that will be managed by chatbot and Artifical Intelligence in a total automated way. In addition, 50% of data will be managed with automated processes. Technical staff can do without performing many routine activies, still necessary, as self-patching, tuning, and very soon also activities related to the availability and SLA , and they will have more time for business development.

5. Containers: Kubernetes on the front line
Already in 2018 Containers had a great role in the Cloud world. They are Cloud-native systems which for their specific features will be increasingly popular as enterprise technology. Containers are able to provide high-level performance, flexibility and scalability, greater security and SLA, and they perfectly suit to any kind of environment. Thanks to those peculiarities they are the ideal system to integrate with Multi-Cloud strategies. Among different Container technologies, Kubernetes is on the front line and represents the most popular model of Cloud Containers orchestration and management at global level.

6. New technical skill needed
The trends create a gap between the skill of providers and businesses IT teams and the ones needed to implement the latest strategies and manage Cloud-native architectures. Thus arise the necessity of training technical staff with up-to-date skills and hire new job figures according to the latest market parameters (for instance Cloud security Specialist or Cloud Architect) to shape the companies of the future.

 
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8 TOP CLOUD TRENDS FOR 2018

8 TOP CLOUD TRENDS FOR 2018

What should we expect about Cloud computing for the coming year?

The adoption of Cloud solutions by companies is now a standard, but this doesn’t mean that the Cloud world is static, actually it is not at all. This IT field is constantly growing and changing. In 2018 there will be different emerging tendencies: according to the experts, here’s the 8 top cloud computing trends for 2018.

1. Multicloud and open-source
In 2018 multicloud solutions will be increasingly used. The choice of using more providers and environments can have different reasons. Sometimes is simply for questions of procurement policy, because a few companies can’t afford to rely on a unique provider.

Other times solutions, costs and quality of the services offered are better from other vendors. To benefit of these and other advantages, open-source tools become crucial. Indeed, with a multicloud technology the open source is the only solution to avoid vendor lock-in to a specific Cloud environment.

2. From Cloud adoption to Cloud optimization
If first the question was using or not Cloud for my business, now is how I can optimize my Cloud infrastructure. The optimization involves many aspects: from architecture, to data, to security. In particular, the experts expect that just data optimization will be a matter of primary importance in the coming year.

3. Growth of hybrid Cloud
The infrastructures will expand to hybrid Cloud models. Different components, like availability and proximity of applications and services, will request hybrid Cloud environments. Corporate data and applications are increasingly divided on in-house platforms, IaaS, PaaS, SaaS, IoT. In other words, Hybrid Cloud model will become a fact of life.

4. Containers, orchestration and microservices
The experts say that containers, microservices and orchestration will go mainstream soon. Containers and the trends related are hot topic still now. So we expect a great adoption of these kind of solution next year. In addition, orchestration tools as Kubernetes (read the previous article!) are very useful in hybrid environments, because they allow you moving easily containers and applications between the different environments.

5. AI and Cloud security
The Artificial Intelligence can be used for security purposes in many different ways, both in the Cloud or out of the Cloud. For IT infrastructures, security is a crucial component. The AI helps to make Cloud environments safer, by preventing and fighting cyber attacks which threat infrastructures and by giving a quick and reactive response compared to the traditional security systems.

6. Blockchain
Blockchain is a technology built to support bitcoins and other cryptocurrencies and it can store large amounts of data using a network of computers instead of a single located server. Blockchain offers different features to support security, as data immutability and transparency and autonomy. Theoretically, this technology works with all online transactions of money, properties and goods and it has a great potential to support financial online transitions, from tax collection to money transfer, where banking can be difficult.

7. Data Virtualization
Data virtualization is a method of data management which allows applications to recover and manipulate data without knowing the technical details of them (as localization or format). It provides data in real time from many sources to multiple users. It is a model easy to understand, create and maintain. The main aim of data virtualization is to get the access from different sources through a single point, enabling users to access their applications easily. Recently, it has been integrated to the Cloud and it will be used more and more in 2018.

8. Enhanced internet quality and the rise of 5G
Just as the quantity of data generated and stored all over the world constantly grows, consumers expected better and faster internet connections. Many teams are working to increase the internet quality and soon we will be able to use the 5G network. A better network will bring higher expectations also for applications and services, which have to be increasingly responsive and fast.

 
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