Cloud computing itself is an emerging technology, and for many years it provides benefits to companies and organisations. The world is moving into an age of serverless architecture very quickly. Here, we will discuss what’s next after cloud computing?
Many technologies are related to clouds, such as cloud shared infrastructure, containerisation, and serverless architecture. These technologies are getting modified day by day and providing several benefits. This technology is a self-establishing computer that means the appliances and internet of things will have connectivity to the internet.
Future of Cloud Computing
Few technologies can be kept in mind, either the upgraded version of the cloud or the technologies. These technologies can solve our query “What’s next after cloud computing”. These technologies are mentioned below-
- Edge Computing
- Growth of Complexity
- Specialised Clouds
- Different Patterns of Technology
- Distributed Ledger
- Supporting Analytics
- Internet of Things (IoT)
1. Edge Computing
Edge computing is a new concept that allows the data produced by the internet to be processed. In this, the computation is primarily performed on distributed device nodes, which are known as devices.
This edge can be known as the Geographic distribution of computing nodes. It plays a significant role in smart cities, cloud gaming, computing, and the realisation of physical computing, multimedia applications such as augmented reality, and the internet of things. IoT and Edge computing can also be known as sub-disciplines of the order.
2. The Growth of Complexity
People nowadays are more familiar with technical complexities rather than the growth of IT. There are two types of sophistication, which we have to deal with in the future of Cloud computing:
- Technical Complexities
Technical complexities are increasing day by day. So, in cloud computing, people will keep learning the new technology to eliminate these complexities and fix them. Many technicians can help us when technical issues strike.
- Management Complexities
The companies face several management issues. These issues can be eliminated with the help of skilled technicians. Different mobile devices are either owned by the company or by the individual employees. These can be attached to the company’s network and utilise the resources of the companies.
3. Specialized Cloud
Specialised clouds are designed to perform a limited task for a restricted audience. These clouds are beyond the public and private clouds and will appear to a limited audience with known demographic characteristics.
It also includes interactive clouds used for a transactional system with getting into pull computational capabilities. There is an analytic cloud used to process a large amount of data and break down the data into measurable statistics within a second.
4. Different Patterns of Technology
The movement of data is fluctuating rapidly and has changed throughout the years. In the last few years, it has been observed that there has been a return to centralised philosophies with the cloud.
There are self-driving cars, which have their data stored when the vehicle needs to make a decision. The data can be retrieved with no latency that will be acceptably safe for a tragic car accident or traffic. So there are various patterns of technology, and they are gradually expanding.
5. Distributed Ledger
The distributed ledger or a shared ledger technology is a consensus of replicated shared and synchronised digital data spread across multiple locations. A blocking system is also a form of the distributed ledger, and it can be either public or private.
A distributed ledger can also be called a database, which allows the transaction to have public witnesses, which will make the cyber attack more difficult.
The Distributed ledger can be either permission or permissionless, in which the approved people can validate transactions. Distributed nature also helps to revolutionise the government, institution, and corporate work.
Cryptocurrency is electronic money created with the help of unique technology, which controls its creation and protects transactions with the identity of the users (hidden). Cryptocurrency or digital cash, quick, cheap, and more reliable than our regular government-issued money.
With the help of Cryptocurrency, we can send the money fast and affordable without the involvement of a third party. The first cryptocurrency was Bitcoin.
7. Supporting Analytics
When the customers are using the applications, the companies can support analytics to get familiar with the customer experience. They also make sure that the cloud solutions are delivering the results which are up to the mark.
Analytics plays an essential role in a company as it positions to become more nimble and enables the monetisation of network infrastructure. Analytics also controls whether to invest more or pull back as it monitors the activity and software which we can use on a network to determine it.
8. Internet of Things (IoT)
The internet of things is also one of the most essential technologies and is gradually growing. With the help of the internet of things, the devices near you will learn what they need to know. The Internet of things is an advanced technology, and with the proper research, we can lead it to better results which will provide ease to perform tasks.
Technology is constantly changing, from the latest mobile devices to the emergence of big data in automotive, education, and digital marketing. If you blink, you could miss the next big thing.
After all, upgrading to the cloud, adopting digital transformation, and being customer-obsessed are strategies that can’t wait. However, from time to time, it’s also worth taking a look at the future.
Cloud computing will soon make way for edge computing, where processing and analysis are expected to occur at the device level. The logic is based on the evolution of technology where devices such as drones, autonomous cars, and robots will require fast processing that sending data up to the cloud and getting an answer will simply be too slow. Though the cloud will remain important for a litany of use cases, its role will begin to change where it will be processing data for machine learning purposes, acting as an adjunct to more immediate data processing needs.
The Patterns of Technology
How data moves is a trend that has changed throughout the years, from a centralised fashion during the mainframe era to a distributed manner during the rise of the Internet. There has been a return to centralised philosophies with the cloud in the last twelve years, and this will change yet again. In this instance of digital transformation, everything, including the self-driving car, becomes its data store.
The process makes sense too. Suppose a car needs to make a decision. In that case, it requires the information instantly, and no amount of latency is going to be acceptable save for a tragic car accident or unbearable street traffic. Furthermore, the addition of shared data instantaneously and over time also provides learning moments for everything from self-driving cars to more manufacturing-based products. If information is shared, each machine can begin learning from one another in this virtuous cycle of data creation, processing, and recirculation.
What Does the Future Look Like?
Some vendors, including Amazon Web Services (AWS), have committed to moving forward, developing a solution called Greengrass, which provides a set of computing services directly on IoT devices when public cloud resources aren’t available for whatever reason. As this market comes into full view, we expect that other vendors will jump on board as well, offering their own computing solutions or support systems that make edge computing possible.
On a greater level, it’s going to have a profound impact on computing as we know it. As Levine discusses later on in his video, such a trend will send shockwaves through the industry and require new ways of programming, securing, storing data, and changing how we think about machine learning. That, however, doesn’t mean that client-server networks, on-premises storage, or mainframes are going away – there will always be a need somewhere.
Finally, as leaders in the market, this also has implications for us. As we continue to serve our customers and understand their customer-obsessed digital transformation initiatives, we’ll also look at how edge computing will influence customer interaction and buyer interests.
What Comes Next After Cloud Computing
It’s too early to say whether or not associations should take edge computing, the successor to cloud computing, seriously. But what should be taken seriously is its potential. Any good association IT department should research potential disruptors ahead of time.
Cloud computing isn’t dead yet. Far from it.
But it is becoming more mature. The technology is now in its second decade, at a point where if you’re not using it for mainstream enterprise applications yet, you should get on that.
But maturity implies a point of limitation—that things have reached their peak. And that’s leading some to wonder what’s next. Even as the cloud defines the modern technology stack—and further, the way we interact with our vendors—there’s always a good chance that it may not stick with us forever.
That sounds more than a bit premature, but some of the technology world’s most prominent thinkers are already making this case.
What’s Edge Computing?
Everything popular in technology always gets replaced by something else. It always goes away. And that’s, either the beauty of the opportunity or the beauty of the business—that these things go away.
This claim is bold, but he has a more significant point that he’s reaching at. Levine makes a case for something called “edge computing,” a phenomenon which he suggests will come about as our computing devices become so sophisticated that it no longer makes sense to offload computing ability to an external source—as, for example, devices that rely on the Internet of Things (IoT) become increasingly sophisticated.
Here’s the gist of what that means in real-world terms: Once, computing power was so resource-intensive that we needed a server room. Cloud computing moved that server room off the premises. Eventually, however, the devices we use daily will be sophisticated enough that they’ll have as much computing power as the machines in the server room—without all the extra space.
There will still be a need to offload data elsewhere, but most of the computing capabilities that the cloud once managed can now be handled on the premises—which is where you want them because it’ll save money and time to collect that data onsite.
In comments to Business Insider last year, Levine noted that as a more significant number of sophisticated computing devices become more common, we’re going to reach a theoretical limit on what a remote computing platform can do.
The result is that the cloud will still be there, but it will take on a management role—orchestrating the execution, as the technology on the ground does all of the work.
Why Associations Should Care
The problem with something new, like edge computing, is that it often feels like an idea without a use case. But the use cases, over time, will show themselves, even in spaces like associations.
Amazon Go is probably a great example of where something like edge computing would come into play. The concept, announced late last year, effectively would allow grocery stores to work without human input—automatically charging customers as they pick up items, walk through the store, and walk out.
But, according to The Wall Street Journal, the problem with the approach is that when too many people are in a store, it starts to have trouble tracking all the activity. At some point, managing all this data via an offsite cloud system is simply going to complicate the experience.
The cloud needs a connection to enable the transaction, but it’s a case where so much data needs to be pushed around the store that adding an outside element like a cloud connection could gum up the works. Sure, the cloud needs to be there at some point of the transaction—say, during the actual payment—but if not properly contextualised, it’ll get in the way.
Likewise, there are other real-world situations where a lot of data is involved—and as a result, would probably benefit from an edge computing approach. I could see the immediate benefit with events that have embraced beacon or IoT technologies in terms of associations. As those approaches become more sophisticated, we’ll ultimately want platforms that can collect data and react to it in real-time.
What would be the benefit?
Today’s data management systems require the most immediate information to support ‘in the moment decisions that can impact millions of dollars to the bottom line. By bringing processing to the edge of the network, businesses reduce latency by prioritising processing and lightening the load on the primary network, supporting better, faster decision-making.
Know What’s Coming
Let’s be clear: the answers aren’t all laid out. They won’t be for a while. But opening up this discussion so early is a great way to contextualise how IT departments make critical decisions.
There was a time when the things being said about edge computing could be said about cloud computing, where the approach wasn’t ready for prime time, and then suddenly, it was.
But if associations will eventually gain a reputation for innovation, they need to be thinking a couple of steps ahead. A cloud computing model is great now, but will it be forever? Depending on the use case, not necessarily.
Over the next 10-15 years, we can expect cloud computing to quickly evolve and become so ubiquitous that the concepts we label as “cloud” will simply be known as “computing.” Cloud vendors will have solved the compute hardware problem, and we can expect infrastructure to become a commodity. The real future of the cloud will be easy access and consumption of any data and services in the cloud.
Artificial Intelligence will help make these services easily consumable and highly available – perhaps pushing us beyond the current developer roles that are needed to make the most of the cloud. We will experience cloud services much like musical instruments; whereas developers will compose the music and make the arrangements, AI will play the instruments perfectly (maybe too much so). Anyone that cares to learn will have the opportunity to create horrendous noise, as well as potentially wonderful, new pieces of music.
Almost everything in the digital world is connected to the cloud somehow — unless it’s kept explicitly in local storage for security reasons. As tech giants and startups find new ways to organise, process, and present data, cloud computing will become a more and more integral part of our lives.
As cloud computing continues to make inroads in the enterprise world, all stakeholders are looking forward to the evolution of the model. As things stand today, almost every significant innovation such as blockchain, artificial intelligence, AR/VR, robotics, and IoT rely on cloud computing technology.
It’s not just computational power, networking speed, or storage capacity that makes cloud computing great. Those are just operational metrics that better technology would eventually change and replace over time. The real value of technology is what it does, not what it’s made of.