Top Industry Trends and Cloud Adoption

By amjid

If we look back to 2010 cloud adoption was nowhere near as high as it is today. So what has changed today in the Year 2021. IoTs in industries and Edge Computing have correlation. The growth of Edge Computing proves the the Transformation to Industry 4.0.

Industry 4.0 and Covid19 Speeding up Cloud Adoption

I can see that Industry 4.0 is the major driving force for cloud adoption. But Covid19 pandemic has changed all the time lines. Be it a global supply chain or remote workforce, during the current pandemic organizations are looking for increased scalability and business continuity. 

Cloud Spending

Despite uncertainty due to the pandemic cloud services grew drastically.  As per IDC, public cloud spending will grow three times from 4.9$ billion to 18.1$ Billion in 2024. No doubt that the business side is going to take a very active role in driving the next level of transformation at the same time cloud services need to be more agile and resilient today. 

Robotics and Industry 4.0

This is because the speed of transformation to industry 4.0 has increased. Robotics is getting popular in various sectors.

Business Agility and Cloud

Businesses are agile today, where scalability and elasticity of technology is highly in demand, and cloud is the only answer, I have a moonshot thinking about cloud adoption. We can’t ignore the benefits that businesses gained due to the Cloud. For some businesses it is about do or die. Businesses can’t avoid Industry 4.0 related technologies including Big Data, AI, ML or Blockchain.

5G and Telecom Services and Cloud

With almost zero latency, 5G If we see the top trends in Industry which are going to reshape the world the first is 5G in the telecommunication sector. 5G improves the cloud integration, device or on premises storage will not be required at all. But here I am mainly concerned about the Computing on Cloud which will improve drastically

Digital Transformation and Cloud Adoption

Though cloud adoption is promising today. But still after 14 years of cloud growth, only one-fifth of enterprise applications are running on cloud. This shows that organizations have to go through transformation. As it is not only about Saas any more, PaaS, IaaS and even DRaaS and WSaaS. We can’t ignore the fact that Businesses have invested a lot for an on premises data center, to maintain the legacy Business Applications.

Artificial Intelligence Engineering

Organizations need a strong artificial intelligence (AI) engineering strategy to ensure their AI projects don’t fail, Gartner said in its “Top Strategic Technology Trends for 2021” report. But Businesses with AI will not get 10% improvement but 10 times improvement. As per Gartner AI Engineering in Businesses is  “Top Strategic Technology Trends for 2021” report. 

Big Data , Data Analytics and Cloud

I don’t want to miss here the important facts about 7Vs of  Big Data. The velocity at which Data is growing, cloud is growing at the same velocity. And talking about Data Analytics, the major focus has now changed  from App driven Data to Data Driven Apps. 

Organizations have limitations to store the data, only structured data was being stored in databases, I believe that was the limitation. However, app driven data has formed big data. And with all such apps organizations have capability to log and store everything via cloud. But what do do with this data. Answer is Data Analytics.

Data Analytics

Data analytics provides a way of gaining insight of data to benefit the business, via analytic functions querying both historical and Realtime data. Which helps to understand the granular level, for positive outcomes. Predictive Maintenance of Machines or letting a bank know that a credit card fraud is going to happen before it happens and all the insight of the business on Realtime.

Hybrid Cloud

The concerns that most of the businesses are raising today is about their data privacy and security, I believe Hybrid-cloud approach is logical and which can help organizations to respond to the demand rapidly without spending much on the operating cost and at the same time spend on innovation. Even if we move all the applications and data to the cloud, the Hybrid cloud concept will remain there forever due to Edge Computing.


In my opinion we must form a good Multi-Cloud strategy first. While working smartly, we need to put the right workload into the right cloud. By considering Cost (server cost, storage cost, the data transfer free), Performance (Uptime, latency) and many other factors. For this we must have detailed information of our infrastructure requirements.

When using multi-cloud, complexity will increase, which also means new security policies need to be adopted. Our strategy should be to simplify the complexity of using multi-cloud. Detailed explanation can be found here.

Kubernetes in Cloud

Kubernetes has gained popularity due to the multi-cloud strategy of organizations. Now Multiple Cloud platforms integration is possible.

IT Automation and Cloud

Automated cloud orchestration and optimization is one of the most important aspect of Cloud providers. IT organizations are rapidly adopting cloud because of this reason. IT helped Automation in Businesses. But now IT also needs Automation. And IT Automation is the foundation of the Cloud which reduces the operation cost. We need to ensure that the IT workforce has gained knowledge and skills of Today’s Cloud Architecture. Cloud skill is highly demanded globally as businesses still need to go through the Digital Transformation.

IT Skillset and Cloud

Remember, that IT has Automated the businesses, but now IT also needs various automation services, and to automate IT, you need to learn new skills. It is time to dive in and embrace cloud and get that digital transformation program kick-started and I mean if you’re a developer or a sysadmin. Automation is the foundation of cloud solutions and with so many services out there, there is reduction of operational resources required to perform the same functions.

Finally, Cloud providers have a far higher level of security. Talking about AWS, even their employees have no idea about the location of physical data centers. Regarding network and data security, they have the best technology in place. Now think of your own on premises data centers?

Edge as new Cloud

AI and 5G will also facilitate the expansion of edge, where time sensitivity and data volume of IoT or edge device need provide analytics on Realtime. It might be in case of IoT related technologies and robotics, but for analytics and AI cloud plays vital role. However, hardware vendors are also working on edge to ensure that they behave like Cloud. Their might be many industries who might turn their focus from Cloud to edge. It will be mainly for those services which can be served locally.

SASE and Cloud

With unified architecture of networking and security services at edge. As data and services live on cloud, so securing data center on premises is old trend. Now, users need to connect to the cloud services from anywhere in the world. Without compromising the latency, edge security plays a vital role in today’s cloud computing.


SASE is a new package of technologies including SD-WAN, SWG, CASB, ZTNA and FWaaS as core abilities,  with the ability to identity sensitive data or malware and the ability to decrypt content at line speed, with continuous monitoring of sessions for risk and trust levels.

Data Governance and Cloud

Data governance will become an ever more prevalent topic for CIOs, CISOs, and CDOs to ensure responsible use and availability of cloud data. Mainly the encryption of data before moving the data from on premises to the cloud.

If we talk about Digitalization, we say work from anywhere, and cloud-based computing, which means the secure access has to be given anywhere at any time to anyone. I must say that one word is SASE.

SASE simplifies network infrastructure by merging networking and security services into a unified architecture. It is an Identity-based network access which is a zero Trust, policy-based model. 

Security and risk management leaders should build a migration plan from legacy perimeter and hardware-based offerings to a SASE model.” You can’t just flip a switch to adopt SASE and enable anywhere, anytime access from any device.

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