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Cloud Trends for 2021

**Cloud

Computing Trends for 2021.**

Cloud computing kept the business and remote

workforces connected during this ongoing coronavirus pandemic. As we move into

2021, every organization would eventually adopt cloud models and existing cloud

business would look at ways to streamline their processes for better business

continuity.

Let’s look at the top cloud computing trends

that organizations need to watch out for.

**Hybrid

and** Multicloud

A hybrid and Multicloud platform provides a

cloud computing environment that helps organizations to deploy and manage their

applications on on-prem, private cloud or across multi-cloud providers in a

unified and consistent way.

A Multicloud environment provides enterprises to

modernize their applications and adopt cloud services from multiple cloud

vendors based on their business requirements and avoid vendor lock-in.

Organizations which runs their solutions

on-premises, can leverage their existing infrastructure and modernize their applications

and build regulatory and compliant solutions where data doesn’t leave the

organization’s geographic boundaries. These organizations can scale their

on-prem infrastructure to cloud and also leverage cloud services to run

non-sensitive computation tasks.

For instance, Hybrid and Multicloud platforms like

Google Anthos, provides a unified approach to streamline on-premises and multi

cloud environments that includes

  • A consistent development and deployment experience
  • Unified operations, monitoring and SLA management
  • Consistent compliance, security and policy adherence
  • Portability through the use of cloud-native applications/containers

You would see lot of developments in this space

– from infrastructure modernization, integration, tooling and skilling for

hybrid and multi-cloud adoption.

**Cloud

on the Edge**

In a connected world and with 5G gaining momentum, we would see

new class of cloud-native applications that would require data and compute to

be located closer to end-users to provide real-time, ultra-low latency and

immersive experience.

The next generation applications would drive new set of

requirements like near real-time decision making, low latency streaming, gaming

and virtual experience and collective intelligence. With adoption of Internet

of Things, every object in the world would have the potential to connect

to the Internet and provide their data so as to derive actionable insights on

its own or through other connected objects. To realize this vision for Internet

of Things, Edge computing would play a very critical role.

Industries need to be agile and prepared for transformation. For

instance virtual mall shopping, trying and buying stuffs can provide the same

real-like experience in future.

Cloud providers would need to extend the hybrid and multi-cloud

model on the edge to provides computing and central management of edge clouds.

Serverless

Serverless

technology removes the overhead of managing the cloud infrastructure and allow

organizations to focus on executing business functions.

Lot of

organizations have already embarked on the serverless journey and this would

grow exponentially for new class of applications and for distributed services

orchestration. Serverless technology will be a boom for start-ups and small

scale business to quickly try out and scale ideas/products without worrying

about constant cloud costs.

You might

see lot of standardization evolve in this arena, which allows to run serverless

technology is a vendor neutral way across hybrid and multi-cloud providers.

**Intelligent

Cloud Management and Cloud Optimization**

As all

workloads would eventually move to cloud and hybrid cloud models, intelligent

cloud management solutions will evolve which would guide customers to use could

services effectively and optimize their spends.

Based on the usage data generated by the cloud and workloads, recommendations would be provided to downgrade or upscale computing resources. For instance, a database instance might have been provisioned with default IOPS and based on utilization, only 30% IOPS is actually utilized. The cloud optimization solution would provide recommendation to downgrade the IOPS numbers by utilizing every bit of usage data to provide optimisation. Similarly if development environments are not being utilized on weekends and only available for business hours, based on actual usage utilization, recommendation should be provided to turn off those computing resources. Similarly, recommendation can be provided to move towards serverless where constant workload is not required. There can be many opportunities where an AI engine can recommend upgrade/downgrade or even migration of services based on actual usage scenarios. There is ample opportunity to use the actual cloud data and provide optimisations across cloud services.

We would

also see lot of third party vendor solutions come up that would help customers

choose and provision the right cloud services and optimise spends.

Summary

To summarize, various innovations would happen in cloud computing to help organizations modernize existing applications and build new cloud native solutions that can seamlessly run anywhere - be it on-prem, multi-clouds or on the edge.

The article was featured in Jan 2021 release of Industrial Automation magazine - https://www.industrialautomationindia.in/articleitm/11284/Cloud-Computing-Trends-for-2021/articles