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* 8 Trends of Cloud Computing to Expect in Future
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8 TRENDS OF CLOUD COMPUTING TO EXPECT IN FUTURE
* By Tech Research Online
* April 28, 2020
* 1,470 Views
Cloud computing is developing rapidly, it is moving at a pace that is maddening
to follow and impossible to predict. In the preceding years, cloud computing has
received a steady rise in investment due to several opportunities it offered for
business growth. Cloud computing technology saw unexpected innovation and
business media all through 2019 as the cloud segment has been developing
quickly.
This year will continue to be a platform for emerging technologies such as
artificial intelligence (AI), Internet-of-Things (IoT), and blockchain. Cloud
computing is expected to dominate the market. In 2020, we can expect to see the
following cloud computing trends that will shape up computing:
Contents
* Serverless Computing
* Edge Computing
* Hybrid Cloud
* Hyper-scale Data Centers
* Digital Natives
* Disaster Recovery Services
* Hyper-converged Infrastructure
* AI in the Data Center
SERVERLESS COMPUTING
Serverless computing has observed an increase in popularity as an extensive
improvement. This is attributed to the rising need for conventional innovation
to go serverless for advancements. It redistributes the whole foundation by
separating the beginning and end apart from the application.
For example, pay as you go system is serverless models that which has a
conventional structure. Such programs are flexible and enable organizations to
have more command over their expenses in cloud hosting.
EDGE COMPUTING
By the end of 2020, the number of devices connected to IP networks will be more
than three times the global population, according to a survey by Cisco.
Furthermore, a study by McKinsey claims that every second about 127 IoT devices
connect to the internet. Companies have experienced a great impact on how data
centers are built.
Hence, they require smaller data centers at the edge which are placed closer to
the data generation unit is located, giving rise to edge computing.
Additionally, research form Gartner states that by 2025, around 75% of
enterprise data will be created and stored at the edge. According to the IDC
FutureScape report, by 2022, to deliver digital services to local users and
things as much as 40% of enterprises will double their IT spending in edge
locations and nearby co-location facilities versus core data centers.
HYBRID CLOUD
According to Gartner’s predicts, by the year 2020, 75% of enterprises will have
a multi-cloud or hybrid cloud model. Hybrid cloud will continue to be more
prefers as its deployment will provide enterprises with more flexibility by
multiple cloud providers.
According to another research report by MarketsandMarkets, demand for hybrid
cloud will mostly be driven by factors such as scalability, cost efficiency,
agility, and security. Furthermore, hybrid cloud provides economic security
while delivering a message to the sensitive information of businesses.
HYPER-SCALE DATA CENTERS
In the digital age, instant consumption has led businesses to operate at a
hectic speed. They need their IT systems to deliver services at a pace than any
traditional system. They also need an IT infrastructure that can scale at a
quick pace to provision increased demand. This need for business in the digital
age is leading to the demand for hyper-scale data centers.
The hyper-scale data center can scale exponentially and rapidly to respond to
increasingly heavily demand. In a research report by Markets&Markets, they have
estimated that the hyper-scale data center market will rise at a CAGR of 26.32%
between 2017-22.
Furthermore, the modularity of hyper-scale data centers will lead data center
operators to replace individual physical components, giving enterprises extreme
flexibility in scaling at the physical level.
DIGITAL NATIVES
The developments in technology will not be limited to the workforce but the
desires for new employees. By the end of 2020, there are predictions that
individuals joining the workforce will be more proficient in the cloud and its
benefits. Such individual or digital natives will be able to produce thoughts
from various mentalities. They will also be able to talk and think in unexpected
ways while using apps such as WhatsApp and Twitter instead of the standard
communication tools such as email.
Digital natives have two challenges including they will undoubtedly get digital
workers together in digital factors every day and that organizations of the
older ages will not evade a similar workforce. For example, reverse-monitoring
and guided will be ordinary and progressively famous as it will incorporate
training the older generation. Progressions and incorporate the two workgroups
into one coordinated workforce.
DISASTER RECOVERY SERVICES
The cost of downtime is increasing rapidly as more and more organizations take
the digital route. Gartner stated that the average cost of IT downtime is close
to $5,600 per minute. For example, in e-commerce firms’ downtimes means missed
opportunities for sales. On the other hand, organizations are under regulations
such as GDPR to handle data of customers with care.
Organizations need to be following all the legal terms while making their
disaster recovery strategies. Hence, organizations today are increasingly moving
towards at DR-as-a-Service which is a strategy that can significantly reduce
recovery time.
HYPER-CONVERGED INFRASTRUCTURE
Hyper-convergence is a framework that integrates servers, storage systems, and
networking. It has emerged as a popular choice because it can centralize and
provide simple monitoring, while simultaneously increasing scalability. HCI
solutions are emerging as an alternative to public cloud platforms due to their
easy to use features that are simple to manage and help reduce the costs from
traditional data center systems.
AI IN THE DATA CENTER
In 2020, AI will observe increased usage in the data center from saving energy
to detecting patterns in servers. AI will be used to solve problems even before
when they occur and help data centers in learning from past data. They will also
enable them to distribute workloads more efficiently during peak periods.
Furthermore, AI will help them in solving shortage issues and automating many of
the tasks. A study by Gartner predicts that by the end of 2020, nearly 75% of
organizations will experience business disruptions due to IT infrastructure and
operations skill gaps. Delivered of AI-based services and solutions will be done
using the cloud.
*
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*
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