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Ten major forecasts of cloud computing in 2019

Release time: 2020-08-30 10:42:03

Cloud computing not only promotes the successful growth of small and medium-sized enterprises for ten years, but also provides small and medium-sized enterprises with the tools and technologies needed to compete positively with giants. In 2018, cloud computing is no longer considered as a place to obtain cheap servers or storage, but a technology that every enterprise must have. In 2019, enterprises are expected to invest more in cloud computing technology.


As competition intensifies, there will be the largest cloud provider in the industry in 2019. Cloud will become a new enterprise digital application platform by combining low-cost infrastructure with high-value development services. At the same time, it will also enable enterprises to spend on the cloud faster than predicted a few years ago.


What will happen in 2019? Here are 10 cloud computing forecasts that will change in 2019.



1. Enterprises will increase cloud investment

In 2019, in order to obtain valuable insights from a large amount of data collected by existing systems, companies will compete to increase cloud computing investment to update existing applications and processes. This will be via It is implemented using SaaS applications and cloud native technologies (such as Kubernetes, containers and functions).



2. Multi cloud/hybrid cloud management platform will be valued

Currently, enterprises strive to integrate the advantages of private cloud and public cloud or private cloud in data and workload processing through hybrid cloud; Or it can adopt a multi cloud environment of multiple public clouds, or it can directly purchase SaaS software to outsource infrastructure to suppliers. This will greatly increase the complexity of cloud management. In order to reduce the complexity of unified cloud management and improve the visibility of costs and consumption, the hybrid cloud/multi cloud management suite is expected to receive attention in 2019.



3. Democratization/sharing wave

2019 will continue to see large-scale technology sharing from virtualization and virtual machine management programs to cloud management tools and technologies. Open source technology will lead to comprehensive sharing from application stack to operating system. The developer field will become the key driver of this transformation, and will become an important influencer in 2019 and beyond.



4. Cloud services suitable for individual organizations or individuals

In 2019, cloud will provide professional application services suitable for individual organizations or individuals, such as blockchain integration, mobile technology, etc. Cloud computing provides services in different modes, such as integrated platform as a service (iPaaS), data platform as a service (dPaaS), blockchain as a service (BaaS), function as a service (FaaS), and mobile back-end as a service (mBaaS), providing enterprises with a lot of functions.



5. All stack developers understand the data processing engine

As enterprises move to the cloud, the role of data engineers is unlocked in a new way. More and more organizations are using data processing and analysis in their core businesses. It is predicted that developers need to use Spark and other data processing engines to understand the data processing engine.



6. Adopt cloud based AI and ML functions

AI and machine learning functions and development platforms began to occupy a prominent position in the products of public cloud providers at the beginning of 2017, and have not stopped since then. In 2019, we expect this trend to accelerate because Digital transformation efforts will push the company from the edge of digital to cloud computing.



7. The appointment of digital skills officers will increase

When discussing any new proposal with a new customer, there is a disconnect between the organization's historical training program and the skills its team needs to succeed. It is often seen that despite the training provided, the final results do not meet the technical objectives.

In 2019, we predict that organizations will appoint digital skills officers to help manage the technical skills of their teams in order to create structures in their training efforts. The digital skills officer will work closely with the CTO and CIO office to align the training with the technical roadmap and pay more attention to situational training to promote successful learning outcomes.



8. Data processing engines (such as Spark) are popular among developers of the whole stack

As organizations move their operations to the cloud, the role of data engineer will be further enhanced. As more and more organizations use data processing and analysis to operate their core businesses, It is predicted in 2019 that the expertise related to data processing engines (such as Spark) will become increasingly important for full stack engineers and other roles related to computer science.



9. Containerization wave

Containers are specialized operating system virtualization that can be used to run any application. In short, the container has all the necessary executables, libraries, binaries, and configuration files available. Containers play a key role in the current cloud implementation. Because of their portability, they have caused a great stir in the IT world. In 2019, we expect the number of containers to increase, especially in the field of microservices.



10. Traditional applications will be enhanced through the cloud

When cloud technology is a new technology, people think that IT will only unload most infrastructure and applications to the cloud. Although some companies have achieved this goal, it is not true for most companies, because most legacy systems continue to run on the company's own and managed infrastructure. As companies adopt cloud applications to provide new services and functions, we hope that these old systems will remain unchanged. In 2019 and beyond, the company will enhance its historical applications by using cloud functions (including new database technology, Internet of Things edge computing solutions, artificial intelligence and machine learning functions), so as to bring new life to the old functions.



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