2018 Cloud Computing Development Tendency Prediction

Jennifer| 2017-12-29 Cloud Computing, News Comments( 0 )

With “Jingle Bells” heard from every place, it is time to step into the prediction season of technology and science world. People are always interested in industry experts’ forecasts and they are also willing to see whether those predictions will actually happen in the next year or not. We collected six most popular predictions about where cloud computing will go in 2018.

Cloud 2.0 will Hit Mainstream

For those incredible innovations recently emerging in the cloud, most people still use them to do basic computing and storage. More than 85 percent of cloud computing is to virtualize in a better way, and it still be run in others’ data centers around the clock -- 16 years after type1hypervisor was created.

The good news is that people just follow all the disruptive innovations’ repetition pattern. When facing interrupt, consumers firstly will try to use the innovation technology like they use the former one. Remember digital photography? When people applied the new technology via digital cameras, its form and functions are both similar to file cameras. At present, digital cameras has been inserted into all things people do, from smartphones to laptops, from Google Project Glass to Amazon Alexa.  

So does cloud computing. The truly disruptive innovation in the cloud computing (also named as cloud computing 2.0) eventually goes mainstream. Based on heterogeneous cloud service, Cloud 2.0 is an application related to PaaS, serverless and composability, which is operated when necessary. 

Cloud 2.0 is a new breakthrough of over 30 years’ changes about client-server model, which permanently operates servers and operating systems based on all applications. This transformation will need 10 years, but it will be a critical point in 2018 and cloud 2.0 will eventually be accepted as the future of application architecture. People started to say goodbye to web servers. 

Machines will Turn the Tables

The pace of cloud change is unparalleled. The vast-scale cloud users bring hundreds of thousands of changes for cloud environment every day, and each change will possibly impact on organizations’ costs, security, performance, usability and even compliance. 

“Infrastructure-as-a-code” enables people to start all these applications and infrastructure with incredible efficiency, but it still controlled by people themselves. There is good news that people all make effort to make all these tasks well down; the bad news that machines will finally turn the tables.

In 2018, it will be the first year that machine learning and artificial intelligence will work for the complexity of cloud computing. It is just like high-speed algorithm deals transform stock market, so does high-speed algorithm automatic change management. People will begin to see machine-driven knowledge and automation-driven monitoring, event management, cost management and configuration management. As a result, it will lower costs, enhance security, improve SLA and obtain better performance.

Google Cloud will Suppress the Formers

Google Cloud has been focusing on cloud innovation which will enable it to suppress the formers. It is estimated that Google will become the second largest public cloud provider in 2018, its customer growth rate will exceed Amazon and Microsoft, the real cloud incomes of Google Cloud will be over Microsoft Azure’s. 

Notice: the real incomes are the earnings related to IaaS and PaaS (not including Office 365, Windows Server or other high-growth products irrelevant to cloud computing).

In 2018, people will see that Google’s innovations will yield unusually brilliant results and Google’s enterprise’ executive strength will reach a critical point. 

Heterogeneous Cloud will Emerge

When an application is run across both public and private cloud, it is hybrid cloud. As an application steps across multiple cloud providers, heterogeneous cloud comes into being. There are two reasons that heterogeneous cloud emerges: costs of data transmission and ponderance of data. 

Heterogeneous cloud applications will possibly choose to use AWS ECS, AWS S3, AWS Dynamo DB, Google DNS, Google BigQuery, and Azure Search. To lower down data outflow costs and the combination of container technology, micro service and serverless will finally lead to the application created based on heterogeneous cloud. 


All Cloud computing infrastructure management exists in feedback loop, in which management needs continuously optimize so as to maintain the best costs, availability, performance, security and usage of cloud computing infrastructure and applications.

Before cloud computing came out, these feedback loop has long enough time interval, so they were often ignored. After cloud computing was adopted, the time interval now is steadily step to real time. So, for organizations, to appoint staff for the management is more and more difficult.

Due to the quick changes in cloud computing environment, it is no longer possible to use manpower to maintain the operation of infrastructure and application. At present, governing cloud computing infrastructure needs ideal software which allows organizations to obtain and drive management from inner strategy, best practice and reference architecture. 

“Governance-as-a-Code” is a solution to maintain the governance without sacrificing the flexibility of the cloud. It will capture the best practice, policy and outside compliance to be the automated rules that can be monitored, reported and applicable. In 2018, people will see the roles, process, and technology that can support the governance on a cloud-computing scale. 

Blockchain will Change Cloud Computing

Blockchain will change everything in cloud computing. It is now not very certain, but blockchain has great effect on improving cloud computing efficiency, lowering costs, and security verification. That’s why industry experts include blockchain in 2018 cloud computing development tendency predictions.

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