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14 up-and-coming trends about cloud computing you want to know

Sachin Bhatia
Sachin BhatiaAP Data Center Group Marketing Director
I love the landscape of customer advocacy. I am passionate to understand how & why customer segments behave differently, what motivates them and how brand should talk to them as a problem solver rather than a solution seller. Hi, I am Sachin Bhatia and I am Head Marketing for Lenovo’s Data Center Group in AP region. I truly believe technology can unleash customer’s business potential which enables creativity, open new door of opportunity and above all, solve the problem seamlessly.

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You are always evaluating how you can make your business more successful and how you can use new tools and ideas that translate into efficiencies of scale and automation in the workplace. Well, we’re through the first quarter of 2017 and now is a good time to take a look at 14 up-and-coming trends about cloud computing for this year:

1. Public Cloud versus Private Cloud and Hybrid Models.

Forrester’s 2017 report on cloud computing studied 1,000 North American and European enterprise decision-makers who planned to build cloud infrastructure in 2017. They found 38% planned to build private clouds, 32% were buying into public clouds, and 59% were leaning toward hybrid models.

2. The Mega Cloud Providers.

Amazon Web Services (AWS), Google and Microsoft have placed themselves strategically as mega cloud providers for the public cloud. We can expect, however, an increased demand for more small regional providers to keep pace with the 22% annual compounded rate in increased web demand that Forrester predicts in 2017. Also, expect a trend toward smaller, regional providers that specialise in a particular field.

3. Containing Cloud Costs.

Forrester says that companies wanting to include cloud computing costs must focus on the rate of consumption and develop best cloud practices. For example, public cloud services that run during weekends when staff are not using them is a waste of services and money. In addition, cloud management tools available from companies like Amazon Web Services (AWS) can help contain costs.

4. The Rise of Hyper-converged Systems.

Even private cloud organisations need virtualisation, standardisation, resource monitoring and more. These tasks are expensive and time-consuming to accomplish in one unified system.

5. Hyper-converged Infrastructure (HCI).

HCI can help companies get a private cloud running more quickly by offering pre-packaged, coordinated computing and storage support. HCI is the infrastructure base that organisations can build on for their private piece in the hybrid cloud. The hybrid cloud computing environment relies on public and private cloud computing segments, third-party provided components like HCI, and managing arrangements among segments.

6. Containers.

Forrester’s researchers predicted that in early 2017 Linux containers would be available for every public and private cloud. Containers are the tools that developers use to hold elements necessary to run software (files, libraries, variables, code) in an OS-level virtual environment without launching an entire virtual machine. Containers in effect shrink virtual portions from the size of virtual machines to smaller containers and smaller functions. The ubiquitous use of containers in cloud computing, however, will raise a host of new considerations with respect to data security, monitoring, and storage/network issues.

7. Machine Learning and AI.

Cloud mega providers have embraced machine learning and artificial intelligence services in a big way. TensorFlow is Google’s open source machine learning tool. Microsoft also released a machine learning platform, and AWS announced no less than three machine learning services at its latest re:Invent

8. Datacentric Approach to Security.

Vendors are increasing the number of data centres, and not just because storage needs to be increased; the expansion also takes place in particular regions of the world which require compliance with local laws on data sovereignty. Google announced its intent to double its data centres worldwide in response to this issue.

9. Diversification of Managed Services.

If your business works in the cloud, you still have to manage your cloud services. You can work with companies to provide managed services for your cloud computing because you want to use cloud technology in the best way. Experts predict these services will increase as more companies opt to use them.

10. Analytics-as-a-Service.

In this web-provided service, a service provider offers access to an analytics platform for a flat monthly fee. Businesses can take advantage of this valuable service to eliminate the time-consuming process of setting up an in-house analytics platform. Such internal platforms often increase costs as they require additional servers and hardware not to mention additional IT staff to maintain it all. Some businesses outsource the analytics entirely; others use a hybrid system where they do some of the analytics in-house and farm out the rest to analytics-as-a-service.

11. Desktop-as-a-service.

In this cloud computing tool, companies outsource to a third-party provider their virtual desktop infrastructure in exchange for a flat monthly fee. The third-party provider manages all the responsibilities typically provided by application software. It is also known as virtual desktop or hosted desktop services.

12. Serverless Architecture.

Experts expect that this is the next big move in cloud computing. While it is not ideal for every workload, areas such as Internet of Things (IoT), cognitive bots, and mobile backends, are on the rise in this environment. The serverless architecture is actually three layers that operate on your existing computers, network, and storage devices (including your traditional servers). Those three layers are fabric, framework, and function. The fabric layer removes traditional functions from the developer’s plate, so they don’t have to think about them. The framework layer is an event-driven programming model that manages the cause and effect of the code. The function layer is the code, logic, and brains that enable the IoT/bots to respond appropriately.

13. Evolving Mobile.

Cloud services and mobile computing are perfect for each other. Mobile computing is especially germane to artificial intelligence, container-as-a-service, and the movement into industry-specific cloud services. Up until now, the public cloud has provided the architecture necessary to enable mobile computing to evolve. Forrester expects that as mobile computing becomes business critical, businesses will turn from the public cloud back to the private cloud, bringing the design of mobile computing back in-house, preceding third-party vendors.

14. The Internet of Things (IoT).

IoT produces data intensive streams that experts expect to increase. IoT will influence the growth of the cloud by how much data it generates and how the cloud processes that data. The healthcare industry is one of the major influences on the IoT market, which also includes retail, telecommunications, and oil and gas industries.


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